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【双语音+文稿】(完整版)英伟达创始人兼CEO黄仁勋10月最

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P1【双语音+文稿】(完整版)英伟达创始人兼CEO黄仁勋10月最1:39:56

P1 · 【双语音+文稿】(完整版)英伟达创始人兼CEO黄仁勋10月最新访谈:内容涵盖AI计算需求激增、技术突破、安全规范、产业生态构建及公司战略等。 p01 英文版 (P1)

字幕摘录

时间英文中文
0:00This is an existential issue for us.这对我们来说是一个存在的问题。
0:02We could easily stop, but if we stop today, we lose.我们可以轻易停下来,但如果我们今天停下来,我们就输了。
0:05Functionality, capability, safety, security, they're all at exactly the same place.功能性,能力,安全性,安全性,都完全相同.
0:10Priority number one.首要任务
0:21It's our third pod back together.这是我们的第三舱一起回来。
0:23In the last 10 days, you've been at the Shee State Dinner at the White House.过去10天里,你一直在白宫的谢州晚餐会上.
0:28You were at the White House Summit where we did the accord on super intelligence.你当时在白宫峰会上 我们达成了超级情报协议
0:33Just yesterday, you were there with your parents就在昨天,你和父母一起在那边
0:36when the president presented you with the National Medal of Science.当总统给你颁发国家科学奖章时
0:40You were the only investor at the table.你是唯一的投资人 在桌子上。
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序号英文中文
1This is an existential issue for us.这对我们来说是一个存在的问题。
2We could easily stop, but if we stop today, we lose.我们可以轻易停下来,但如果我们今天停下来,我们就输了。
3Functionality, capability, safety, security, they're all at exactly the same place.功能性,能力,安全性,安全性,都完全相同.
4Priority number one.首要任务
5It's our third pod back together.这是我们的第三舱一起回来。
6In the last 10 days, you've been at the Shee State Dinner at the White House.过去10天里,你一直在白宫的谢州晚餐会上.
7You were at the White House Summit where we did the accord on super intelligence.你当时在白宫峰会上 我们达成了超级情报协议
8Just yesterday, you were there with your parents就在昨天,你和父母一起在那边
9when the president presented you with the National Medal of Science.当总统给你颁发国家科学奖章时
10You were the only investor at the table.你是唯一的投资人 在桌子上。
11Well, now that we reflected on it.瞷и稱筁
12Yeah.对
13Well, tell me, being there with your parents yesterday,告诉我,昨天跟你父母在一起
14it struck me five out of the six people on stage were all born outside of the United States.舞台上的六个人中有五个出生在美国以外
15How did that feel?感觉怎么样?
16Well, first of all, it's a great honor all by itself.首先,这本身就是一个伟大的荣誉。
17It's a reflection of the contribution that the company has made.反映公司的贡献.
18Obviously, we created, we invented a new computing model.显然,我们创造了一个新的计算模型。
19This is probably the most pervasive computing model in the world today.这可能是当今世界最普遍的计算模型。
20It's the only computing architecture that's in every cloud.这是每个云层中唯一的计算架构.
21It's in every computer company.在每个电脑公司都有
22It's used in every field of science.用于科学的每一个领域.
23It's used by gamers.由游戏者使用.
24It's used by creators and builders and it's used by scientists.它被创作者和建筑者使用,被科学家使用.
25It powers intelligence.它能赋予智慧
26If you take a step back and you look at what the company has accomplished,如果你退一步 看看公司的成就
27we started out building a graphics chip for gamers.我们开始为玩家建造图形芯片
28I'm still proud of that, of course.我当然还是为此感到骄傲
29We now shipped one and a half, 1.67 billion units.我们现在运送了一个半, 16.7亿单位。
30I raised generations of scientists and kids and designers.我培养了几代科学家、孩子和设计师。
31So, I think the impact, and here we are, we're the infrastructure因此,我认为影响, 在这里,我们是基础设施
32that powers the intelligence of society.社会智慧的力量
33It's an incredibly proud moment for me to receive the award on behalf of the company.代表公司获得奖项 对我来说真是令人骄傲的时刻
34Now, for my parents, I wanted them to go and I gave them literally现在,为了我的父母, 我希望他们去, 我给他们字面上
3524 hours of time and they don't travel that much.24小时的时间,他们不 旅行那么多。
36They don't travel that much.他们旅行不多。
37My dad didn't even have a suit.我爸爸甚至没有西装。
38Wow.珃
39Yeah.对
40So, he ran out and bought a suit.所以他跑出去买了一套西装
41He looked great.他看起来很棒
42They looked great.他们看起来很棒。
43Yeah.对
44It was a brand new suit and he showed up.这是全新的西装,他出现了。
45I didn't realize he had a suit.我不知道他有西装
46I thought he was going to wear some shirt.我以为他会穿件衬衫
47He went out and bought a suit.他出去买了套西装
48My mom got a new dress and literally in 24 hours.我妈妈在24小时内换了件新衣服
49Oh, I know how it works.哦,我知道如何运作。
50Oh my gosh.天呐
51It's incredible.不可思议.
52We chartered a plane for them, got them there.我们为他们包了一架飞机 把他们送到那里了
53And they were so happy to meet the president and President Trump walked my mom because他们很高兴见到总统 特朗普总统陪着我妈妈
54she has a hard time walking and the two of them were walking off stage and he held her她走不动,他们两个走下台 他抱着她
55and walked her down the stage and they were just incredibly, incredibly proud to meet her.把她带到舞台上 他们非常骄傲地遇见了她
56But for them, it's their American dream.但对他们来说,这是他们的美国梦.
57My dad, I still remember, I think I was like five years old or something like that and我爸爸,我还记得, 我想我像5岁什么的,
58he had just come back from the United States on a business trip.他刚从美国回来出差
59He was working for an air conditioning company.他在一家空调公司工作
60And you were living in Taiwan.你当时住在台湾
61We were at the time, we had just moved to Thailand.当时我们刚搬到泰国
62Thailand.泰国。
63And no, no, we were just about to move to Thailand and we were in Taiwan.不,不,我们正准备搬去泰国 我们在台湾。
64He had come back and he was in the United States working for a company called Carrier.他回来后,他在美国为一家叫Carrier的公司工作。
65And he was here for training and of all the places in the world, they landed him in New York.他在这里训练 和世界上所有的地方, 他们把他在纽约。
66Okay.摆
67And so you can just imagine a kid in the late 20s, I guess, late 20s, and never been outside所以你可以想象一个20年代末的孩子, 我想,20年代末, 从来没有在外面
68of Taiwan, goes to United States, New York City of all places and he saw the future of the future.台湾,去美国,纽约 各地,他看到了未来。
69And he came back, mind blown.他回来了,心碎了
70All the things that he bought at the airport and brought it back, he brought chocolate,他在机场买回来的东西 他都带了巧克力
71he brought, you know that cheese that you have in a tube back in the old days?他带来了,你知道 你有一个奶酪 在管子的回到过去?
72Strain cheese.草条奶酪。
73Strain cheese that comes in a tube.绳子里的奶酪
74That's great.赞曰.
75And he brought back all kinds of strange things and he says, this is, we should go there someday.他带回了所有奇怪的东西 他说,这是,我们应该 有一天去那里。
76And the first opportunity they had, they sent my older brother and I to United States and他们把我和哥哥送到美国
77you know, it was his dream.这是他的梦想
78I don't think many people realize that you came to the United States ahead of your parents.我不认为很多人意识到你比父母早来到美国.
79Yeah.对
80Right.对
81And they joined a few years later.几年后他们也加入了
82But it just hit me like a ton of bricks that five out of the six people on that stage yesterday但昨天在舞台上六人中有五个人 把我打得一团糟
83were born outside the United States.出生在美国境外。
84You and I have talked about the need for, you know, with all the other stuff going on,你和我谈过需要,你知道, 与所有其他的事情,
85a real strategy and an immigration policy that makes certain that we're still the place that真正的策略和移民政策 确保我们仍然是
86all the great builders in the world want to come build.世界所有伟大的建筑家都想来建造.
87This is America's superpowers.这是美国的超能力。
88Right.对
89In a lot of ways, the intellectual property creation capability of our nation在许多方面,我们国家的知识产权创造能力
90is unlike anything else in the world.和世界上其他的不一样
91And the reason for that is we attract the world's best.原因就是我们吸引了全世界最好的。
92We are the place where they want to come and build their lives我们就是他们想要来的地方 建设他们的生活
93because of the opportunity it provides, the freedom that she offers, the opportunity that因为它提供的机会, 她提供的自由,
94it provides, the spirit of invention and entrepreneurialism and the can-do attitude.它提供了发明精神和创业精神,以及能行的态度。
95You know, in the United States, everything is possible.你知道,在美国,一切都是可能的。
96Right.对
97We start with, of course, it's possible.我们首先当然可以
98Of course, we could do that.当然,我们可以做到这一点。
99Instead of, you know, I do a lot of travel.而不是,你知道, 我做很多旅行。
100And of course, you can't do that.当然,你不能这样做。
101Of course, you know.当然,你知道的。
102In other places.在别处.
103And we take it for granted.我们认为这是理所当然的。
104But the spirit, the energy that comes around with the culture that we've created here但是,精神,能量 围绕着我们在这里创造的文化
105just can't be understated.只是不能被低估。
106And so I think the flow, the inflow of intellectual property into this country所以我认为 知识产权流入这个国家
107is unlike anything else the world's ever seen.和世界上见过的不一样
108It's true.这是真的。
109And we want that.我们希望这样。
110We want all of the world's great minds to come here, bring their great ideas,我们希望世界上所有伟大的人才来到这里, 带来他们伟大的想法,
111make them, realize them here.让他们意识到他们在这里。
112Right.对
113Realize them here and let us keep that flywheel going.认识他们 让我们继续飞翔
114It's a delicate system.微妙系统.
115It's a delicate balance I get.这是一个微妙的平衡 我得到。
116We have to do it lawfully.我们必须合法行事。
117We have to do it rightfully.我们必须正确地做到这一点。
118But we surely want to do it.但我们确实想这样做。
119Yeah, for sure.是的,当然。
120So I want to start high level, just kind of where we are.所以我想从高层次开始, 只是那种我们的位置。
121Then I want to dig down a little bit into the safety and regulation and getting this right.然后我想深入了解一下安全与监管 并找出问题
122Where we are in terms of the compute build out.在计算积分方面我们的位置
123And then finally, we're going to finish up drilling in a little bit to NVIDIA's growth最后,我们要完成钻探 一点点NVIDIA的成长
124and what's going on there.和发生什么事了。
125But you've been really good at calling the future, right?但你一直很擅长召唤未来 对吧?
126Two years ago, we were sitting here and you said that the market was两年前,我们坐在这里 你说市场是
127dramatically underestimating the amount of compute build out that was going to be required大大低估了需要计算的建筑数量
128and was going to happen over the course of the next five years.接下来的五年里 将会发生
129You said it's not going to be a trillion.你说不会是万亿
130It's going to be two trillion at a minimum in terms of cumulative compute build out.累计计算积分至少要2万亿.
131And of course, now we're over that.当然,现在我们结束了。
132You said before everybody was thinking about it that在大家考虑之前你说过
133inference, right, compute was going to one billion X because of inference time reasoning推论,对,计算到十亿X 因为推论时间推理
134and thinking.和思维。
135And then last year, of course, before we saw Opus 4.6, before we saw Claude Code,然后去年,当然, 在我们看到Opus 4.6, 在我们看到克劳德代码之前,
136you said we're entering the age of agents, right?你说我们要进入特工时代,对吧?
137Where we're going to unlock a lot of these capabilities.在那里我们要去解锁 很多这些能力。
138当然,我们看到Opus 4.6和Claude Code真的起飞了。
139So where are we now, right?我们现在在哪?
140We have Elon and Sam and Dan.我们有伊隆和萨姆 还有丹
141There's only three things that I said that came true.我说的是三件事才是真的
142There's another 200.还有两百个
143Why don't you just keep on going?你为什么不继续走?
144Let that be the podcast.让播客来播吧
145So our investor day in a couple of weeks is on entering the singularity, this acceleration.因此,我们的投资者日 在几周内 进入奇点, 这个加速。
146We have Elon and Sam and Demis all say, hey, we're in the foothills or entering the singularity.我们让伊隆和萨姆和戴米斯都说, 嘿,我们在山坡上或者进入奇点。
147We have model-solving Navier-Stokes, as you know.我们有模型解 纳维尔 -斯托克斯,你知道的。
148So when you look into your crystal ball, where are we?所以当你看着你的水晶球, 我们在哪里?
149And are we inflecting?我们在反射吗?
150Are we accelerating into a different phase of super intelligence?我们是否正在加速进入另一个超级智能阶段?
151And so let's unpack that.所以,让我们打开它。
152First of all, it's fairly logical why the amount of compute that we're going to need首先,这是相当合理的 为什么计算的数量 我们需要
153is a billion times more than where we were just recently, let's call it, last year.比我们最近那段时间多十亿倍, 让我们称之为去年。
154And the reason for that is because thinking and problem solving takes a lot more inferences than原因是思考和解决问题 需要更多的推论
155repeating something, regurgitating something that you memorized.重复一些东西, 重现你记忆的东西。
156So when you're a chat GBT, you give it a prompt.所以当你是一个聊天的GBT, 你给它一个提示。
157Most of that knowledge was encoded into a large language model.大部分知识被编码成一个大语言模型。
158Unfortunately, of course, it hallucinated.不幸的是,当然,它产生了幻觉。
159And so the next click was it was generative, but it was also grounded or conditioned by接下来的点击是 遗传性的,但它也是基于或条件的
160ground truth.事实真相
161It would have to go out and do a search, do a quick search, comes back with the ground truth.它必须出去搜身 快速搜身 带着真相回来
162And then from that conditioning, augmented with what it already learned pre-training,然后从这个条件, 与它已经学到的预训,
163and it would generate whatever the answer is.它会产生任何答案。
164Well, most of the things that we want to really do that are interesting requires you to reason大部分我们真正想要做的事情 很有趣 需要你解释
165step by step, to come up with several options, plan.一步一步地, 提出几个选择,计划。
166And you might decide, let's see how these things all roll out.你可能会决定, 让我们看看这些事情是如何展开的。
167And then based on the answers of all of those, I reflect on the best answer so far,然后根据所有这些答案, 我思考了迄今为止最好的答案,
168the best path so far.目前为止最好的路径。
169I might choose one or two or three of them, roll them out, prune the rest of it.我可能会选一两三个, 把它们推出来, 将剩下的。
170And then just keep on doing this.然后继续做下去
171That's the reason why we say great strategists love strategic optionality.这就是为什么我们说伟大的战略家 喜欢战略选择。
172You don't want to prune things too fast on the one hand, but you also have to optimize你并不想把事情推得太快 但你也要优化
173your resources.你的资源。
174Well, AIs are doing that.人工智能正在这样做。
175So they're keeping their strategic optionality.所以他们保持了战略上的可选性.
176They're rolling things out.他们正在把事情搞砸
177run
178They're reflecting.他们在反射
179They're pruning, so on and so forth.二者普润等.
180All of that thinking, all of that exploration just takes a lot more compute.所有那些想法,所有探索 只是需要更多的计算。
181And not on top of that, because it's able to now do productive things, we're going to更别说了,因为它现在能做生产性的事了, 我们要...
182use it for more things.用它做更多的东西。
183And so the compounding of both, it uses more compute to do its job, but it's doing a good所以两者的复合, 它用更多的计算来完成它的工作, 但是它是一个很好的
184job, and therefore, we're going to hire it to do more jobs.因此,我们要雇用它做更多的工作。
185And so that all compounds.所以所有的化合物。
186At this point, I would say that the big observation from last year is that on the one hand, we此时此刻,我要说,去年的重要观察是,一方面,我们
187want to get better and better, and we still want the models to get better.想要越来越好, 我们还希望模型变得更好。
188And the scaling laws of models are going to continue.而模型的缩放定律将继续下去。
189However, the attachment of a harness, basically the exoskeleton of the large language model,然而,一个带子的附着, 基本上是大语言模型的exoskeleton,
190the body of the brain, that allows it to manage working memory, manage knowledge.大脑的身体, 允许它管理工作记忆, 管理知识。
191How do you go from working memory to short term, to long term, to basically formulating如何从工作记忆到短期、长期、 基本形成
192your knowledge graph, which is what we all do.你的知识图,我们都是这么做的。
193We think about, hey, what did I learn, and how does it fit into everything that I know我们想着,嘿,我学到了什么, 它如何融入我知道的一切
194in the past?过去?
195And how when we go to bed, we do compaction.当我们上床睡觉的时候,我们做紧凑。
196Things that don't make sense or don't matter, we eventually forget.说不通或无关紧要的事情 我们最终会忘记的
197But the things that matter, somehow it gets reconnected.但重要的是 不知何故它会重新连接起来
198And so we're doing that offline.所以我们要下线了
199And so we've got working memory.所以我们有工作记忆。
200We have offline knowledge extraction and creation, knowledge graph creation.我们有离线的知识提取和创造, 知识图的创造。
201That whole part of memory is a big deal.这整个记忆的部分是一件大事。
202The other thing is, of course, tool use.另一件事当然是工具的使用。
203And we've taught these tools, these AIs, how to interact with the most important tools我们教过这些工具,这些AI,如何与最重要的工具互动
204that the humans ever made.是人类创造出来的
205It's no different than if you were a robot, it comes into our house, it's more likely和你是机器人一样,它进入我们家,更可能
206you're going to use all the tools that I have in the house than to go off and build it from scratch.你要用我家里所有的工具 而不是从头开始建造
207And so Spice is still going to be useful, and Verilog will be useful, and simulators所以香料还是有用的 维利洛格也是有用的 模拟器也是有用的
208将是有用的, 和设计编译器, 和Photoshop, 和AutoCAD, 和细胞Katia,
209and all the Siemens tools.和所有西门子的工具。
210All of these different tools that we've been using to run our company, build our companies,所有这些不同的工具 我们一直在使用 管理我们的公司,建设我们的公司,
211design things, operate things, they're all going to be great tools for the agents to use.设计一些东西,操作一些东西,它们都会成为特工们使用的伟大工具.
212But the agents had to learn how to use it.但特工们必须学会如何使用它.
213And so these two areas, knowledge and working memory and tool use, huge unlocks in the last year.因此,这两个领域, 知识和工作记忆以及工具的使用, 在去年,巨大的解锁。
214So now all of a sudden you could put these large language models encapsulated in their所以,现在突然你可以把这些大语言模型 封装在他们的
215harness or exoskeleton, and you can put them into your company,你可以把它们放进你的公司
216connect them to the information, the ground truth that you have,把它们与信息联系起来, 你拥有的真相,
217connect them to the tools that they can use, and all of a sudden they start doing amazing things.把他们和他们可以使用的工具联系起来,突然他们开始做一些令人惊奇的事情.
218Now the easiest part, frankly, was coding.坦白说,最简单的是编码
219That's the first on-ramp to useful work.这是第一个有用的工作。
220In a lot of ways, coding is easy because both the customer and the tools that they use在很多方面,编码是很容易的 因为客户和他们使用的工具
221are fairly accustomed to things that have tremendous use but are not extremely easy to use.相当习惯于具有巨大用途但并非极易使用的东西。
222In the early days of coding, it wasn't extremely easy to deploy,在编码初期,部署起来并不容易,
223but software engineers found a way.但软件工程师找到了办法
224So now I think the next click for us, and you guys have probably been playing with Astra,所以,现在我想下一次点击我们, 你们可能一直在玩 Astra,
225OpenAI Astra is really fantastic, and we're using it in all these different places.OpenAI Astra真是太棒了, 我们正在所有这些不同的地方使用它。
226And so now the next phase of these agents, they're able to do design work and a lot of所以现在这些特工的下一阶段 他们能够做设计工作
227creative marketing work, and we're using it to go.创意营销工作,我们正在利用它去。
228You take a picture and give it to Astra.你拍张照给阿斯特拉
229It literally recreates it into CAD.它从字面上把它重现成CAD.
230It recreates it into the CAD, which is incredible because we need the CAD so that we can interact它将它重现为CAD,这是不可思议的,因为我们需要CAD,这样我们才能互动
231with the CAD and make fine-tuning and adjust, and so Astra could really give us the first与CAD并做微调和调整, 所以Astra真的可以给我们第一个
232initial implementation.初步执行。
233Incredibly productive.令人难以置信的生产力。
234Now you take Astra and the latest release and you apply it to all of these different domains.现在,你把Astra和最新的发行版 应用到所有这些不同的领域。
235I think that besides software engineering, we're going to see designers and builders我认为除了软件工程之外,我们会看到设计师和建筑师
236and creators and this whole area of scientists and all of this whole unlocking.和创造者 和整个科学家领域 和所有这一切解锁。
237Now, the challenge, of course, is how do we deploy agents safely and securely into the现在,挑战当然是,我们如何安全、安全地部署特工人员
238world's enterprise?世界企业?
239This is exactly the same question again with safety and security, and we'll talk about这个问题与安全保障完全相同 我们会谈谈
240that.那个
241We'll come in on that.我们进去吧
242What I'm struck by is that all of this occurred this year with OpenAI and Anthropic having,我感到惊讶的是,这一切发生在 今年的OpenAI和Anthropic有,
243I don't know, two, three gigawatts of compute each.我不知道,两,三千兆瓦的计算。
244Relatively small amount of compute relative to what's coming.相对于即将到来的东西来说,计算数量相对较少.
245Again, what I'm interested in is the way the economy generally works or people model the再说一遍,我感兴趣的是 经济的一般运作方式 或者人们模拟
246economy or they model a company is linear deceleration.经济或他们模拟公司 是线性减速。
247They're not very good at modeling acceleration, but here we have this double exponential.他们不太擅长建模加速, 但是我们这里有双倍指数。
248We have massive amount of new compute coming on board.我们有大量的新计算机上。
249So if OpenAI and Anthropic are, I don't know, three to five x-ing their compute next year,所以如果OpenAI和Anthropic是,我不知道, 三到五x - 在他们的计算明年,
250does it stand to reason?这有道理吗?
251We solved Navier-Stokes.我们解决了纳维尔 -斯托克斯
252We'll look back at this and say that was a tiny amount of compute and intelligence,我们回头看,说这是 微小的计算和智能,
253the worst intelligence we're ever going to have from here forward solving a millennium我们最糟糕的智慧 从这里向前 解决一个千年
254problem.问题。
255So when you look at what's coming online next year, do you expect that we're going to have所以,当你看看明年上线时, 你期望我们将会有
256major breakthroughs in long running agentic problems that we can use these swarms of agents在长期运行的代理问题上的重大突破 我们可以利用这些毒剂群
257on?继续?
258Well, Navier-Stokes is really a great example.纳维耶 -斯托克斯是一个很好的例子。
259Remember, OpenAI did not solve Navier-Stokes from nothing.记住,OpenAI没有从什么角度解决纳维耶-斯托克斯.
260Correct.没错
261They solved it from the foundation of a lot of great scientists and a lot of great他们从许多伟大的科学家和伟大的科学家的 基础上解决了这个问题
262mathematicians and a lot of great previous work.数学家和很多伟大的前作
263Earlier I said we're at kind of the tipping point of a lot of these different fields之前我说过,我们正处在这些不同领域的关键点
264because we're kind of at that phase, that point with Navier-Stokes with a great deal因为我们在那个阶段 和纳维耶 -斯托克斯 有很多
265of foundational work already been done.基础工作已经完成。
266If we could just apply the exhaustive exploration of AI to the previous done work, we're going如果我们能把AI的详尽探索 应用到之前完成的工作,我们要去
267to see one breakthrough after another breakthrough rather quickly.很快地看到一个突破 一个又一个突破
268But we do need a lot of compute to do that.但我们确实需要大量的计算来做到这一点。
269And the reason for that is because a large amount of exploration was necessary.其原因是需要大量勘探。
270If it was simply somebody resolving some fundamental first principle theory in order如果只是某个人 解决一些基本的第一原则理论
271to discover the breakthrough, if it didn't require a vast amount of exploration of space,如果不需要大量探索空间
272search space, not space space, but search space, if it didn't require that, then somebody搜索空间,不是空间空间, 但搜索空间,如果它不需要, 那么有人
273would have found it earlier.早该发现的
274People are pretty smart.人们很聪明。
275So I think that there are many problems like this that are just on a precipice and really所以我认为,有很多这样的问题 只是处于一个边缘,真的
276wants to just have that massive amount of intelligence exploration to get us there.只是想进行大量的情报探索 才能把我们带到那里
277In the coming years, my expectation is that the cost of intelligence would fall fairly在未来的几年里,我期望情报费用会公平下降
278quickly.快点
279And the reason for that is because obviously we're bringing more compute online.其原因是,很明显,我们在网上带来了更多的计算。
280These models are getting smarter.这些模型越来越聪明了。
281When you're smarter, you could be more efficient.当你更聪明的时候,你会更有效率。
282And so the combination of these two things, the cost of intelligence will come down,所以这两件事的结合, 智能的成本会下降,
283which is, of course, what they want.当然,这是他们想要的。
284And this is no different than Moore's Law.这跟摩尔定律没什么不同
285If you go back 30-some-odd years, we have three decades of computing cost decreasing by a factor如果你回到30多岁, 我们有30年的计算成本 下降因数
286of two every single year.每年两次。
287And we want intelligence costs to decrease by a factor of two or 20 every single year我们希望情报费用每年减少2或20倍
288because the consumption of it is going to more than make up for it.因为它的消耗 将超过弥补它。
289And so there's a massive empty space in the world that wants to be filled,世界上有一大片空地想被填满
290empty vacuum of opportunity, and we just got to get the cost down.空虚的机会真空, 我们只需要降低成本。
291I guess what stands out to me about Navier-Stokes is that they had 10,000 agents working together.我想纳维耶 -斯托克斯最突出的就是 他们有1万个特工合作
292To me, that sounds like a hyperscale company basically all pointing对我来说,这听起来像一个超规模的公司 基本上都指向
293agents to work together towards a goal.特务们一起为目标努力
294And I think in the early days right now, it's a lot of paralyzed search exploration.我想在早期,现在, 这是很多瘫痪的搜索探索。
295But I think the goal is that more of these agents can work together to a common goal但我认为目标就是 更多这些特工可以合作实现共同目标
296and that we can solve a lot more.我们可以解决更多的问题。
297And to your point, I think our math says it probably cost about $4 million of compute就你而言,我认为我们的数学说 可能要花费四百万的计算
298to solve this instantiation of Navier-Stokes.解决纳维耶-斯托克斯的这个即兴表演。
299The cost to do something like that over the next few years接下来几年做这种事的代价
300is going to drop by another 5x, 10x, right?还要再来个5x,10x,对吧?
301So the number of things that we're going to be able to do is rapidly expanding.因此,我们将能够做的事情的数量迅速增加。
302Our ambition is going to go sky high.我们的雄心会飞升
303The original GPT probably cost, let's pick a number, say, maybe $20 million to do.最初的GPT可能要花费,让我们选一个数字,比如说,也许需要2000万美元做.
304If you wanted to train GPT-1 now, it'll probably cost you, what, $1,000, $100 maybe?如果你现在想训练GPT-1, 可能要花你,什么,1000美元,100美元?
305It's like $100, yeah.这就像100美元,是的。
306You went from $20 million, let's say $10 million, to $100, and we did that in 10 years.你从2000万美元,比如1000万美元,到100万美元, 我们在10年里做到了。
307And so I fully expect, meanwhile, our ambition got so large that the models that we're training now,所以我完全期望, 同时,我们的雄心壮大, 以至于我们现在训练的模型,
308$3 trillion, $10 trillion, $30 trillion, we're talking about gigantic models now.3万亿,10万亿,30万亿 我们现在谈的是巨大的模型。
309Our ambition for the capabilities that technology has gone up,我们的雄心壮志 技术已经提升,
310meanwhile, our use of it has gone up between 10 years ago to now, probably, I don't know,与此同时,我们使用它 在10年前到现在,也许,我不知道,
311a million times.百万遍经.
312And so I don't think this trend is going to stop.所以我不认为这种趋势会停止。
313There's a fairly insatiable demand for intelligence.相当无厌求智.
314And the smarter you are, the more intelligent you are, the more ideas of applying intelligence你越聪明,你越聪明 运用智慧的想法越多
315you have.你曾经是
316The more I've learned in life, the more I realize there's more to do.生平所学愈多,觉悟愈多.
317And that's because every time you learn something, it opens a new door.这是因为每次你学到一些东西, 它打开了一个新的门。
318Every time you learn something, it opens a new door.每次你学到一些东西, 它打开了一个新的门。
319And every time you open a new door, you see more opportunity, you see more challenges,每次你打开新门,你看到更多的机会,你看到更多的挑战,
320you see more problems.你会看到更多的问题。
321And so that's the future.这就是未来
322People say, we're going to have more time.人们说,我们会有更多的时间。
323I completely disagree.我完全不同意这一点。
324I think for most people, this intelligence is going to unlock more opportunities.我想对大多数人来说,这种情报会释放更多的机会。
325And they're going to want to pursue it because they're ambitious.他们打算追求这个目标,因为他们雄心勃勃。
326Give me an example of a family, a father, a son.举一个家,一个父亲,一个儿子的例子.
327A husband, a wife, a mother.丈夫,妻子,母亲
328Who doesn't want it?谁不欲.
329Who don't have ambition for their families to have more?谁有抱负,欲家多得?
330They just don't have the opportunity.他们只是没有机会。
331And these things are going to open up opportunities.这些东西将会打开机会。
332If you go back to 1930, Keynes talked.如果你回到1930年,凯恩斯说话。
333He made a prediction about the Industrial Revolution.他对工业革命作了预测.
334And he said, in 100 years, the economy will have 8x'd,他说,100年后,经济将有8xd,
335but the work week will go to 15 hours a week.每周工作15小时
336He was right.他说的对
337The economy did 8x, right?经济8X,对不对?
338We had massive abundance and productivity gains from it.我们从中获得了大量的丰收和生产力的提高。
339Yeah, except we're working 80 hours a week.是啊,除了我们每周工作80小时。
340We didn't go to a 15-hour week.我们一周没去15小时
341And what he got wrong was the human spirit, right?他错了是人的精神,对吧?
342He didn't realize that work is purpose.他没意识到工作是目的
343Discovery is purpose, right?发现是目的,对不对?
344It's deeply encoded in, I think, our DNA.它深深地编码进了我们的DNA
345And I'm working harder than I ever have, having more fun than I ever have.我比以前更努力工作 更快乐
346Not because I have to, like my grandparents did, right?不是因为我必须, 就像我的祖父母一样,对不对?
347I'm doing it because I want to.我这样做是因为我想这样做。
348And so, I agree with you on that.因此,我同意你的观点。
349I'm fascinated with this idea.我对这个想法很着迷
350The singularity postulates that we've kind of now have all these agents that can work奇异的假设 我们现在有 这么多的特工可以工作
351together on long-running tasks.共同完成长期任务。
352They can stay on task.他们可以继续执行任务。
353I love your keep each other on task, working as a team.我喜欢你们互相配合 合作
354Hey, you're off.嘿,你离开。
355That's right.没错
356I love your idea that we build on top of all the things that have come, right?我喜欢你的想法,我们建筑 在所有的事物已经来了,对不对?
357And so, if I think about full self-driving as an example,所以,如果我考虑 完全的自我驾驶作为一个例子,
358we talked about it for a decade, and we really didn't get there, right?我们谈了十年,我们真的没有到那里,对不对?
359But all of the sudden, like you go on Twitter,但突然间 就像你在推特上那样
360everybody experiencing Tesla, FSD, experiencing Waymo, we're here.每个人都在经历特斯拉,FSD, 经历Waymo,我们在这里。
361Somebody asked me, how was the drive here this morning?有人问我,今天早上的车怎么样?
362I said, I don't know, because I got in my car, and I hit FSD,我说,我不知道, 因为我上了我的车, 我打了FSD,
363and I didn't pay any attention until we pulled into the parking garage, right?直到我们拉进停车场,我才注意,对吧?
364I was working the whole way here.我一路都在这里工作
365But if I think about that in the fields of science,但如果我在科学领域想到这一点
366the breakthroughs that are going to come in the fields of pharma and genetics, right?药物和遗传学领域的突破,对吧?
367We've been laying down the tracks for 30 years.我们铺轨已经30年了
368We're going to break through on a lot of massive cures for the world.我们要突破 大量的大规模治愈世界。
369Of course, ChatGPT is already helping parents plan their day当然,ChatGPT已经 帮助父母计划自己的一天
370and solve their kids' health issue and helping them get better educated.并解决孩子的健康问题 帮助他们获得更好的教育
371Talk to us a little bit, though, as to why that's having such a hard time跟我们说说为什么这么难
372breaking through, Jensen.闯过去,詹森。
373We have all of these things that are out there improving lives我们有所有这些东西 在那里改善生活
374and that are right around the corner.就在拐角处
375And so, that's kind of curious to me as to why that's not breaking through.所以,我有点好奇 为什么它没有突破。
376I guess, let me take a shot at it.我想,让我试试看。
377Yeah.对
378And we'll ultimately not really know.我们最终不会真正知道。
379I've spoken to a lot of people.常与众说.
380They told me what they thought.他们告诉我他们的想法
381I mean, one of the things, of course, is AI or super intelligence is soft matter.我的意思是,其中一件事,当然, 是AI或超级智能是软物质。
382You can't see it.你看不见它。
383And so, you've got the whole world talking about this technology,全世界都在谈论这个技术
384but you can't see it.但你看不见
385You can't touch it.不可触动.
386And even though they're already benefiting from it,尽管他们已经从中获益了
387when they do search, they're already benefiting from it.当他们进行搜索, 他们已经从中获益。
388When they go shopping, they're benefiting from it.当他们去购物, 他们从中获益。
389When they're using Netflix, they're benefiting from it.当他们使用Netflix时,他们从中获益.
390You go to Walmart, you're benefiting from it.你去沃尔玛,你从中获益。
391The fact that FedEx is getting stuff to us.联邦快递公司给我们带来麻烦
392It's all leveraging super intelligence and accelerated compute today.利用超级智能 加速计算
393But we don't do a very good job telling that story.但我们讲这个故事做得不好
394They're benefiting from it.他们从中获益。
395It's invisible.不可见者.
396Right.对
397So, if we shut off the data centers and shut off super intelligence for a weekend,所以,如果我们关闭数据中心 关闭超级情报一个周末,
398I think everybody would notice.我想大家都会注意到的
399I know you had a question about robotics in particular.我知道你有个关于机器人的问题
400I guess you notably said a few times this year that the chat GPT moment for robotics is here.我猜你今年已经说过几次了 机器人的聊天时间到了
401And I think you've also said that it could be your next $100 billion market.我想你也说过 这可能是你的下一个1000亿美元的市场。
402So, I guess, what are you seeing now in the inflection point in this year所以,我想,你现在看到什么 在今年的交际点
403that this is around the corner?这是在拐角处?
404Yeah, I understated the $100 billion because we're already,是啊,我低估了1000亿美元 因为我们已经,
405the first six months of this year, we did $10 billion in physical AI.今年头6个月,我们做了100亿美元 物理AI。
406Physical AI is basically AI that's somehow interacting with the physical world.物理AI基本上是与物理世界有某种相互作用的AI.
407And it could be photon counting CT machines, it could be ultrasounds,可能是光子计算CT机 也可能是超声波
408it could be new imaging radars, next generation of 5G.可能是新的成像雷达 下一代5G
409Not only does it understand radio waves, it's going to understand signals of all kinds.它不仅能理解无线电波,还会理解各种信号.
410It's a sensing network.腾讯网.
411Of course, robotics, self-driving cars, manufacturing systems, visual inspections,当然,机器人,自动驾驶汽车, 制造系统,视觉检查,
412I mean, geospatial satellites, imaging the world and reconstructing it into 3D.我的意思是,地理空间卫星, 成像世界 重建成3D。
413So, there's basically, if you look at the entire electromagnetic spectrum,所以,基本上, 如果你看看整个电磁频谱,
414there's AI stuff going on from visible to invisible spectrums.从可见光谱到隐形光谱 都有AI的东西
415And we're doing work across that entire thing.我们正在做整个事情。
416And as an AI, there's the perception part of it, there's the reasoning part of it,作为AI,有感知部分,有推理部分,
417and then there's the planning and actuation part of it.然后是它的规划和激活部分。
418When you finally come to planning and actuation, then that's self-driving cars and robotics当你终于来到 规划和激活, 然后,这是自驾汽车和机器人
419and things like that.和类似的东西。
420In-warehouse delivery vehicles, pick and place robots that you don't have to program室内送货工具,选取和放置不需要编程的机器人
421as precisely because it learns by itself, all the way to people talking about consumer robots因为它自己学习, 一直到人们谈论消费机器人
422coming into your house, making your bed and things.进入你的房子, 做你的床和东西。
423Or healthcare robots, hospital robots, lots of really good examples there.或医疗机器人,医院机器人, 有很多很好的例子。
424Precisely delivering exactly your prescription to the patient,准确的将你的处方交给病人
425having robotic care, literally 24-7 every single second to keep patients safe.拥有机器人护理,从字面上说每秒24 -7 来保证病人的安全。
426And so, just lots and lots of great examples,所以,只是很多,很多伟大的例子,
427entire surgical rooms that are going to be completely robotic.整个手术室都是机器人
428And so, lots of great technology being deployed.因此,许多伟大的技术被应用。
429And so, if you look at this whole thing, we're the world's largest physical AI company.所以,如果你看这整件事, 我们是世界上最大的物理AI公司。
430We did $10 billion in the first six months.我们在头六个月做了100亿美元。
431We did $10 billion in the last year.去年我们做了100亿美元。
432And that was our first $10 billion year.那是我们的第一个100亿年。
433The year before that, we did five.前一年,我们做了5次。
434And so, we went five, 10, let's say we did 20, who knows?所以,我们去了5,10, 让我们假设我们做了20, 谁知道呢?
435So, maybe the hundred was a little understated.所以,也许这100 是一个有点低估。
436And I think the reasoning part of it is everything that matters to us in the final analysis我认为其中的推理部分 对我们来说是最重要的
437touches the physical world, and we live in the physical world.触摸物理世界, 我们生活在物理世界。
438And so, I think the market opportunity for bringing software, computing, intelligence所以,我认为市场的机会 带来了软件,计算,智能
439into an industry that largely historically was mechanical, electrical, that's a big opportunity.进入一个在历史上基本上是机械,电气的产业, 这是一个巨大的机遇.
440I mean, look at obviously what Elon has done to the automotive industry,我的意思是,看看很明显 伊隆对汽车工业做了什么,
441turned it into essentially a computing industry, a technology industry.把它变成一个基本上 计算工业,一个技术工业。
442And so, I think every car company is going to be a technology company.所以,我认为每个汽车公司 都会成为一个技术公司。
443Every shipping and receivings company,每个航运和接收公司,
444logistics company is going to be a technology company.物流公司要成为科技公司.
445I'm super excited for FedEx.我对联邦快递非常兴奋
446They're obviously going to be an AI company.他们显然会成为一个AI公司。
447They're obviously going to be a technology company.他们显然要成为一个技术公司。
448Walmart, obviously going to be a technology company, an AI company.沃尔玛,显然要成为一个技术公司,一个AI公司.
449So, super excited for them.所以,超级兴奋他们。
450The entire telecommunications industry will be reinvented again into a technology industry.整个电信业将再次被重塑为技术产业.
451They were a technology industry a long time ago, then became a services industry.早在很久以前,它们就是一个技术产业,然后成为了一个服务业。
452They're going to be a technology industry again.他们将再次成为科技产业.
453And I'm delighted to work with AT&T and Verizon and Europe around the world我很高兴和AT&T、Verizon以及欧洲合作
454as they reinvent themselves.他们重新创造自己。
455And so, you take a look at every one of these industries that touch the physical world,所以,你看看每一个这些行业 触摸物理世界,
456and there's a great idea for reinventing them with AI.并有一个伟大的想法,用AI来重塑它们.
457You know, I was just in Washington.你知道,我只是在华盛顿。
458It's so weird.这太奇怪了。
459People put us in chips.人们把我们放在筹码里。
460And so, we're actually in warehouse and logistics.所以,我们实际上在仓库和物流。
461Yes.对
462We're in healthcare.我们在医疗领域
463We're in automotive.我们在汽车公司
464We're in telecom.我们在电信
465Every industry on the planet.世间一切业.
466And so, we're in life sciences.因此,我们在生命科学领域。
467So, all these entertainment, obviously for a long time,因此,所有这些娱乐, 显然在很长一段时间,
468NVIDIA was really vastly an entertainment company.NVIDIA其实是一个巨大的娱乐公司。
469So, each one of these verticals, NVIDIA has a massive stack that's inside of it.因此,每个垂直的, NVIDIA 都有一个巨大的堆积 它的里面。
470And we're very deep in the ecosystem.我们非常深入的生态系统。
471And we have excellent partnerships there.我们在那里有很好的合作关系。
472And so, one of these days, people might not categorize us as a chip company anymore.因此,有一天,人们可能不再把我们归类为芯片公司。
473The playbook would be to take the Alpamio automotive,剧本是用阿尔帕米奥汽车
474I guess, playbook and insert it into each one of these industries.我猜,游戏本 并插入到每一个这些行业。
475Yeah, that's the final contribution.是啊,这是最后的贡献。
476But in each one of these, it takes three computers to build a physical AI platform.但在其中的每一个中,需要三台计算机来建立物理AI平台.
477And so, you need a computer to create the brain.所以,你需要一台电脑来创造大脑。
478That's the training system.这就是训练系统。
479But very importantly, and this is where you're going to see the labs also do this,但非常重要的是,这就是你将要看到 实验室也这样做,
480they need to build a digital twin of the internet他们需要建立一个数字双网络
481so that they don't have to put their AI agents out into the internet to learn how to use it.这样他们就不用把他们的AI特工 放到互联网上去学习如何使用
482And so, just like we created Omniverse as the digital twin所以,就像我们创造了Omniverse 作为数字双
483of warehouses and buildings and cities and the physical world,仓库、建筑物和城市以及有形世界,
484we put our robot into the digital twin.我们把机器人放进数码双胞胎
485The digital twin learns how to be a robot.数码双胞胎学习如何成为机器人.
486And then we deploy it into the last computer, which is the computer that's inside,然后我们把它放到最后一台电脑里, 也就是里面的电脑,
487for example, a robot or a car or a surgical instrument or whatever it is.例如,机器人、汽车、手术器械等等。
488And so, it takes three robots, three computers and three complete stacks.因此,它需要三个机器人,三个计算机和三个完整的堆栈。
489And we build complete stacks for each one of them.我们为他们建造完整的堆栈。
490We're the only company in the world that does that.我们是世界上唯一这样做的公司
491And then, if you're a company that wants to build it end to end,然后,如果你是一个公司 想建造它结束到结束,
492you could use two or three or one of our computers.你可以用我们两三台电脑
493We don't care.我们不在乎。
494And so, each one of a computer has its own software stack.因此,每个计算机都有自己的软件堆。
495We do the same across all of our verticals.我们的垂直也一样。
496But of course, these capabilities cut both ways, which is why但当然,这些能力 削减了两种方式, 这就是为什么
497we hear a lot of people talking about safety.我们听到很多人谈论安全
498You've been highly critical of the Doomer narrative.你一直高度批评杜默的叙述。
499You can only get there if you build the technology responsibly.只有负责任地建立技术,你才能到达那里。
500That's right.没错
501And so, the first thing is, build the technology responsibly.因此,第一件事就是, 负责任地建立技术。
502Notice the word build.注意这个词的构建。
503It's an engineering word.工程学词.
504It's about technology.腾讯科技.
505It's about engineering.论工学.
506Engineers, scientists, researchers, we have to build this technology safely, responsibly.工程师,科学家,研究人员,我们必须安全,负责任地建立这种技术.
507And the question is, can you?问题是,你能吗?
508And the answer is absolutely yes.答案是绝对是的。
509Because if you can't, then you shouldn't build it at all.因为如果你不能,那么你不应该建造它。
510Of course.当然
511And so, we either have to believe we can or we shouldn't build it.所以,我们要么相信 我们可以或不应该建造它。
512Okay?好吗?
513And so, I believe we can.所以,我相信我们可以。
514And so, let me just reason about it with you.让我跟你解释一下
515So, the first part of it is, some people say that AI is uncontrollable because it's impossible所以,第一部分是,有些人说AI是不可控制的,因为它是不可能的
516to align perfectly.完全对齐。
517Alignment means this for all the audience.对齐意味着所有观众都这样
518You tell somebody, I want you to do this.你告诉别人,我要你这样做。
519And so, the mission is clear.因此,任务是明确的。
520The mission is clear.任务明确.
521And it's clear to you because you said it in English.而且你很清楚 因为你用英语说
522And so, it could be, I want you to solve this quadratic equation.所以,这可能是, 我希望你能解决这个四极方程。
523And so, the mission is to solve the quadratic equation.因此,任务是解决四极方程.
524The alignment is, how do you do it?校对是,你怎么做到的?
525There are many ways to do it.有多种方法可以做到.
526For example, you memorized it.例如,你记住了。
527And so, the answer is, whatever it is.所以,答案是,无论它是什么。
528Or, you saw the answer in a textbook, so you looked it up.或者,你看到答案 在教科书, 所以你查了一下。
529You refer to a reference.你指的是一个参考文献。
530Or, you went to a drawer and you know the drawer had all the answers.或者你去抽屉 你知道抽屉里有答案
531You opened the drawer, you picked out the answer.你打开抽屉,你挑出答案。
532Some people call that cheating.有人称之为作弊
533I call that opening the drawer and retrieving the answer.我叫它打开抽屉 找回答案
534And that's what computers do.电脑就是这样的。
535There's a lot of different ways you could solve that problem.有很多不同的方法 你可以解决这个问题。
536Now, of course, that one is very explicit.现在,当然,这个非常明确。
537Here's another one.这里还有一个。
538Be successful in life.成就众生.
539The mission is easy to say.任务很简单
540And in fact, we say it to each other all the time.事实上,我们经常互相说
541We say to our children, we say to our friends,我们对我们的孩子,我们对我们的朋友,
542let's do our best to contribute to society.让我们尽力为社会作出贡献。
543Well, now, the question is how?那么,现在,问题是如何?
544There are so many ways.有这么多的方法。
545How do you reasonably align in everybody's culture and background?你如何合理调整每个人的文化和背景?
546Some people think that contributing to society means to be generous, to be kind.有些人认为对社会的贡献意味着慷慨,善良.
547Some people might mean that contributing to society有些人可能意味着对社会的贡献
548make a lot of money and then be philanthropic.赚了很多钱,然后是慈善的。
549Some people might, so on and so forth.一些人可能,比如说。
550Isn't that right?是吗?
551Yes.对
552Okay.摆
553And some people might just think that building a company alone一些人可能只是认为 建立一个公司单独
554or doing something alone is a sufficient contribution to society.或单独做一些事情,是对社会的充分贡献。
555Creating a beautiful piece of art or创造美丽的艺术品,或者
556all of it is true.这一切都是真的。
557And so the question is, what's the alignment?所以问题是 校对是什么?
558And it just depends on your background, your culture,这取决于你的背景,你的文化,
559maybe has something to do with where you live, where you came from.可能和你住在哪里,你来自哪里有关
560There's just an infinite number of ways.唯有无数法.
561And so my point is this, alignment is going to be a forever problem.所以我要说的是 校正将永远是一个问题
562If we depend on perfect alignment in order to ensure safety,如果我们依靠完美的配合来确保安全
563then we're never going to get there.那我们就永远去不了了
564And so the answer is this.所以答案是这样的。
565The way we treat, the way we think about babies我们对待孩子的方式
566and when we were raising kids and we have pets or whatever it is, employees.当我们抚养孩子的时候 我们有宠物或什么的 员工
567You start with containment.你从隔离开始
568You give them the rights, the access to tools, the access to information,你给他们权利 获得工具 获得信息
569the access to whatever responsibility, capabilities that they have, funds, resources.获得其拥有的任何责任、能力、资金和资源。
570You give them access based on the job that you ask them to do.你根据你要求他们做的工作 给他们机会
571You start out with zero trust.你从零信任开始
572When you hire somebody, you start out with zero trust.当你雇人时 你从零信任开始
573When you have a baby that's one year old, you put them in a playpen.当你有一个一岁大的婴儿, 你把他们在一个游戏机。
574You assume zero trust.你假设没有信任。
575And so zero trust, you give them minimum rights如此的零信任, 你给他们最低的权利
576and you expand that boundary as you learn more.当你学到更多东西时,你就会扩大边界。
577And so whenever we have a new AI, we have to assume the same thing.所以,每当我们有了新的AI, 我们必须假设同样的事情。
578Whenever you're testing an AI, zero trust, minimum boundaries, minimum rights,当你测试一个AI, 零信任,最小界限,最小的权利,
579and you expand it as you test and give yourself confidence.在测试时扩展它 并给自己信心
580So containment, very tight containment is really important to any autonomous system.所以控制,非常严密的控制 对任何自主系统都很重要。
581Second thing you do, monitoring.第二件事你做,监视。
582And the monitoring has to be out of band.而监控必须脱离波段.
583And the reason for that is because if you tell an intelligent person,原因是如果你告诉一个聪明人
584hey, listen, I'm going to sit here and watch you do your work to make sure you're doing it right.嘿,听着,我要坐在这里 看着你做你的工作 确保你这样做是对的。
585I'm going to sit here and watch you make sure that you're serving customers properly我要坐在这里看着你 确保你为顾客服务
586and that you're working hard enough.而且你已经够努力了
587That autonomous system is going to behave differently than when you're not watching.这个自主系统的行为会和你不看的时候不同
588It's like Brad's in the room with me or not.就像布拉德在我房间里一样
589Exactly, exactly.没错,没错。
590And so the monitoring has to be out of band.因此,监测必须脱离范围。
591And it has to have the ability to observe that the autonomous system is doing something that它必须有能力观察 自主系统正在做一些事情
592was inconsistent with the policy or inconsistent with alignment.与政策不一致或与协调不一致。
593And you have the ability to either escalate or shut it down, just turn it off.你有能力或升级 或关闭它, 只是关闭它。
594And so those kind of capabilities have to exist.所以这种能力必须存在。
595That's engineering, that's technology, and it's possible.这是工程技术,这是可能的。
596我们最近宣布它叫OpenShelf。
597We have over 100 companies now joining us.现在有100多家公司加入我们。
598It's got lots and lots of activity around the world because everybody wants the same thing.它在世界各地有很多活动,因为每个人都想要同样的东西.
599Starting at the highest level, when I looked around the table at the White House,从最高层开始 当我在白宫的桌子周围看时
600everybody around that table, their parents, they have kids.桌旁的每一个人, 他们的父母,他们有孩子。
601I think there's this view in the country that there are some leaders of super intelligence我觉得这个国家有种观点认为 有一些超级情报的领袖
602that are just yoloing, that don't really care, they're being reckless,那只是优柔寡断, 并不在乎, 他们正在鲁莽,
603they just want to grab all the money.他们只是想抢走所有的钱。
604And yet when I looked around that table, there wasn't a person in there that I saw然而当我在桌子周围看时, 里面没有我看见的人
605that wants to be reckless, that wants to yolo.想要鲁莽 想要尤洛
606In fact, everybody there wanted to find the right balance between fast and safe.事实上,那里的每个人都想在快速和安全之间找到正确的平衡。
607That was the president's directive.这是总统的指示。
608And we debated a little bit what that meant.我们辩论了一下这意味着什么。
609There are different versions of how to implement that.关于如何执行这一点,有不同的版本。
610But what would you say to the American public who fears that we have a reckless president但是,你会怎么对美国公众说 谁担心我们有一个鲁莽的总统
611or reckless leaders?还是鲁莽的领导人?
612Did you see any evidence of that?你看见什么证据了吗?
613You have kids.你有孩子吗?
614Do you worry about the future that you're bringing into existence with super intelligence?你担心你用超智能带来的未来吗?
615Safety and security, technology are part of AI.安全保障,技术是AI的一部分.
616There's some weird formulation that AI, technology, and safety and security are orthogonal.有一种怪异的表述认为AI,技术,安全保障是正统的.
617It's like the airbags and the braking system and the radars, the cameras,就像气囊 制动系统 雷达 摄像头
618the ABS, the lane keeping, all of that technology is somehow independent of the car.ABS,车道的维护, 所有的技术 在某种程度上是独立于汽车。
619Do you guys understand what I'm saying?你们明白我在说什么吗?
620The only thing that matters to the car is the engine.汽车唯一要紧的是引擎.
621In fact, the whole car is part of the car's technology.实际上,整车是汽车技术的一部分.
622When I say we need to accelerate AI's technology, what I mean by that当我说我们需要加速AI的技术,我的意思是
623is we need to accelerate the security technology.我们需要加快安全技术。
624We have to accelerate the safety technology.要加快安全技术建设.
625They all have to be accelerated.它们都必须加快速度。
626If you ask me right now, I think everybody would say,如果你现在问我, 我想每个人都会说,
627let's accelerate security.让我们加快安全。
628Let's accelerate safety technology.加快安全技术建设.
629Nobody says, no, let's pace that.没有人说,不,让我们的速度。
630We should accelerate that.我们应该加快步伐。
631It's all part of the same thing.皆是同义.
632You can't separate capability, functionality from safety and security.无法将能力,功能与安全保障分开.
633They go us one.他们去我们一个。
634When you deliver the service, nobody's going to say,当你交付服务, 没有人会说,
635I really like the functionality of your service, but boy, is it wrecking havoc.我真的很喜欢你的服务功能, 但是男孩,它是破坏破坏。
636I think it's all one thing.我认为这都是一件事。
637We treat it as all one thing, and the industry has to treat it as one thing.我们把它当作是一回事,工业必须把它当作一件事。
638When we say accelerate, we have to mean accelerating the entire package.当我们说加速时,我们必须指加速整个一揽子计划。
639Right now-现在...
640Including the safety.包括保险箱
641Including, especially the safety.包括,特别是安全。
642You mentioned pacing.你提过节奏
643Especially safety.特别是安全
644You know this.你知道这一点。
645Some people read Pacing the Frontier by Dario and thought that meant slowing down.有些人读达里奥的"边疆之平",认为这意味着减速.
646I thought a funny moment in the room was when the president called on his new best friend Dario.我想在房间里一个有趣的时刻 是当总统召唤 他的新最好的朋友达里奥。
647He referred to him in that way, and he said, explain to me your version of fast and safe.他用这种方式提到他,他说, 向我解释你的观点 快速和安全。
648Dario started off by saying, Mr. President, you said whoever wins AI wins.达里奥一开始说,总统先生 你说谁赢了AI谁赢了
649He said that we're all speeding up, that they're speeding up, that they want to go fast,他说,我们都在加速, 他们正在加速, 他们想要去快,
650that they want to win the race with China, but also acknowledge that along the way,他们想赢得与中国的比赛,但也承认 一路,
651to your point you just made, we have to make sure the safety systems are also speeding up你刚才说的,我们得确保安全系统也加速
652and also keeping pace.还要跟上步伐
653I thought that was an important moment because I think people have positioned him as though我认为这是一个重要的时刻 因为我认为人们已经定位他
654he's in opposition to this, but it seemed to me that you were all very much on the same page.他反对这个 但在我看来 你们都一样
655You went to the cabinet room with him and Greg and the other frontier labs to sign你和他、格雷格 以及其他前沿实验室去柜房签字
656this agreement.这个协议。
657Was there any chatter in that room about differences of opinion or was everybody,那间屋子里有没有关于意见分歧的闲聊 或者是每个人
658you obviously got it signed, did anybody have to be put in a headlock or你显然得到了它签署, 有没有任何人必须 被置于一个头锁或
659did everybody go willingly?大家都是自愿的吗?
660No, everybody was very constructive, very productive.不,每个人都很有建设性,很有成效。
661I think that without exception, everybody is dedicated to advancing the industry safely我认为,无一例外,每个人都致力于安全推进这个行业。
662and securely.安全无虞
663And the reason for that is because if it's not safe, it's not secure, the functionality原因是如果它不安全, 它不安全,功能
664will never get a chance to speak, and so the capability will never get a chance to shine.永远不会有说话的机会, 所以能力永远不会有发光的机会。
665And so we know that the priorities are at all times safety and security.因此我们知道,优先事项在任何时候都是安全和保障。
666Of course, recognizing that this industry came through a transition just recently.当然,认识到这个行业刚刚经历了一个转变。
667It wasn't but six months ago, this technology barely worked.6个月前,这个技术几乎没用
668Without functionality and capability, what's the point in making it safe and secure?没有功能和能力,何必让它安全无虞?
669Nobody even cares about it.没人在乎
670Obviously, the first job of AI is to demonstrate it could do something useful,显然,AI的第一项工作就是证明它可以做一些有用的事情,
671and it really reached that point six months ago.六个月前就已经到了这个地步了
672And so now, it really wants to be deployed and broadly deployed.因此,现在,它真正想要部署和广泛部署。
673And so there's no question that the entire industry now has a strategic imperative,所以毫无疑问,整个行业 现在有战略需要,
674an incredible imperative, and great urgency to make sure that whatever we deploy不可思議的迫切性 确保无论我们部署什么
675is safe and secure.安全无虞
676So I think everybody is completely convinced, aligned, functionality, capability, safety,所以我认为每个人都完全相信, 一致,功能,能力,安全,
677security, they're all at exactly the same place, priority number one.保安,他们都在同一地点,第一优先
678And so the question is winning.所以问题就是赢
679I would reframe winning not of the technology industry winning,我将重新塑造赢得 而不是技术行业赢得,
680not of just the AI industry winning.不只是AI行业赢了。
681America winning means every industry in America winning.美国获胜意味着美国每一个行业都获胜.
682Health care.保健。
683That's right.没错
684Nothing would give me more joy.没有比这更让我高兴的了
685The definition of America winning is when we talk about Lilly winning,美国获胜的定义是 当我们谈论莉莉获胜,
686Walmart winning, FedEx winning, every single one, Boeing winning,沃尔玛获胜 联邦快递获胜 每个人 波音获胜
687the US military winning.美国军方获胜。
688Every citizen winning.每个市民都会赢
689And so our university is winning.所以,我们的大学正在赢得。
690Our high school is winning.我们的高中是胜利。
691That's the definition of winning.这就是获胜的定义.
692There is no winning if it's just the technology won, but nobody used it.如果只是技术赢了,就没有胜利,但没人用过它。
693The greatest risk is, of course, I'll just say baseline.最大的风险当然是基准
694There will be no AI technology industry if we don't build it safely and securely.如果我们不安全可靠地建造AI技术产业,就不会有.
695That this is an existential issue for us.对我们来说,这是一个存在的问题。
696And if we make it an existential industry for everybody else,如果我们让它成为其他人的生存产业
697well, that's not going to happen because it would be an existential issue for us first.好吧,那不会发生 因为它会是一个存在的问题 首先对我们来说。
698So having said that, the definition of winning for us,所以说,我们赢了的定义,
699and this is the part I always have to change a little bit.这就是我总得改变的部分
700I want us to pivot.我想我们做点什么
701I like that.我喜欢
702I want us to pivot.我想我们做点什么
703And when I see AI winning, America AI winning,当我看到AI赢了 美国AI赢了
704I'm looking down from these days, we spent a lot of time in the air.我从这些天开始往下看 我们花了很多时间在空中
705And we're looking down.我们正往下看
706Every state's winning.每个州胜.
707Every county's winning.各县胜.
708Every community is winning.每个社区都在赢得胜利。
709Every company's winning.每个公司都赢
710Everybody won because we could afford to spend more on health care.每个人都赢了,因为我们可以负担更多的医疗开支。
711We could afford to spend more on education.我们可以负担更多的教育开支。
712We could afford to spend more on interstate commerce, highways, etc.我们可以在州际商业,高速公路等方面多花钱
713All of the infrastructure of the country.国家所有基础设施。
714What I hear you saying is the definition of winning is that when we look back 25,我听到你说的胜利的定义是 当我们回顾25,
71530, 40 years from now, the economy needs to be 10 times as large.30,40年后经济规模要达到10倍.
716Everybody's lives need to be better.每个人都需要更好的生活。
717And existential and primary to all of that is it has to be done in a way that's aligned而存在和首要的 这一切是 它必须以一种一致的方式进行
718with human interest, which this is the last question I have on this.与人类的兴趣, 这是我对这个最后一个问题。
719And I know we have a lot to get to.我知道我们有很多事情要做
720Most people don't understand what our security framework is in the country.大多数人不明白 我们的安全框架在这个国家。
721I've said we have the most robust superintelligent security framework in the world.我说过我们有世界上最强大的超级智能安全框架
722We're clearly the only country on the planet that's actually sanctioned a model我们显然是地球上唯一一个 真正批准模型的国家
723and pulled it off the shelf with mythos earlier this year.今年早些时候用神话把它从架子上拉下来
724But I describe it as a three-leg stool.但我形容它是一个三脚凳。
725We have the Frontier Model Review of every new frontier model by Casey我们有凯西对每一个新疆域模型的前沿模型审查
726and the Department of Commerce.和商务部。
727So they do all their work.所以他们做所有的工作。
728If a new model is coming out, they review it.如果一个新的模型出现, 他们审查它。
729They test it for whether or not they think it's going to cause a problem in the marketplace.他们测试它是否认为它会在市场上引起问题。
730Now we have the White House Accord on Superintelligence that you helped to architect.现在我们有了你帮助建筑师的 《白宫超级情报协议》
731Internal and external audits, board oversight, and all of the liability that comes with that.内部和外部审计、董事会监督以及随之而来的所有责任。
732And then third, we have the SI Force, now led by Jay Clayton, of course,然后第三,我们得到了SI Force, 现在由杰·克莱顿领导,当然,
733Emil and Scott and Andrew.埃米尔和斯科特和安德鲁。
734And that's doing critical industry coordination, cyber, et cetera.这正在做关键的行业协调,网络等等。
735So these three legs on the stool, there are people out there,凳子上的这三条腿 外面有人
736I heard Gates recently saying we're not doing enough.我最近听到盖茨说我们做得不够
737We need new laws on the books and everything else.我们需要新的法律 关于书籍和其他一切。
738That three-legged stool seems like a lot to me in a very short period of time那个三脚凳在很短的时间内 对我来说是很多
739that's come together as a leader of one of the most important companies,作为最重要的公司之一的领导者,
740obviously, in superintelligence.显然,在超级情报。
741Do you feel comfortable for that future that we're trying to usher in?你对我们要迎接的未来感到舒服吗?
742That is a good step forward where we need to be right now.这是向前迈出的好一步,我们现在需要这样做。
743Yeah, the best way to get to the future is take action quickly.是啊,最好的办法到达未来 是迅速采取行动。
744And if we argue about what's perfect versus what's first,如果我们争论什么是完美的,什么是第一,
745we'll end up arguing about perfection and we'll never get there.我们最终会争吵 关于完美的,我们永远不会到达那里。
746And so I love the fact that these three-legged stool are actionable,所以我喜欢这个三脚凳可以行动的事实
747they're tangible, they have real teeth.它们是有形的, 他们有真正的牙齿。
748Right.对
749It's happening now.现在已经发生了
750It's happening right now.正在发生
751We're doing it now.我们正在做。
752We're taking action now.我们正在采取行动。
753And the reason we're taking action now is because it's good for our company,而我们现在之所以采取行动 是因为这对我们公司有好处
754it's good for our industry, it's good for our country,这对我们的工业有好处,对我国有好处,
755it's good for our society, it's good all the way around.这对我们的社会有好处,对各地都有好处.
756And if we don't do these things, the outcome is less desirable.如果我们不这样做,结果就不那么可取了。
757We don't get to pursue that optimistic future that we all dreamt about.我们无法追求我们都梦想中的乐观未来。
758And so if you go back and look at another industry,所以如果你回去看看另一个行业
759I don't remember another industry that is currently at its current state我不记得其他的行业 现在处于现状
760and have now formulated all of these cross-company,并且结识了所有这些跨公司,
761industrial government to industry coordination to make sure that we工业政府与工业协调,以确保我们
762advance this in a responsible and optimistic way.以负责和乐观的方式推进这项工作。
763I just think it's so important for people to understand,我只是觉得这对人们来说很重要
764because when I hear senators talking about it on television,因为当我听到参议员在电视上谈论,
765on both sides, to be perfectly honest.在两边,完全诚实。
766They have to learn about what we're doing here first.他们必须先了解我们在做什么
767They don't even know what we're doing.他们甚至不知道我们在做什么。
768We are doing an extraordinary amount.我们正在做一个非凡的金额。
769And by the way, these aren't voluntary things.顺便说一句,这些不是自愿的。
770There's not going to be a frontier model that gets released不会有边疆模型被放出来
771that Casey is not reviewing and the Commerce Department is not reviewing.凯西没有审查 商务部也没有审查
772And they've demonstrated they have the authority他们证明他们有权力
773under export controls to pull them off the shelf.在出口管制下把他们从货架上拉下来
774Do two things.做两件事
775One, come and spend some time and learn what actually has to be done.第一,来花点时间 了解实际需要做的事
776What's the problem?有什么问题吗?
777If you want a solution, you've got to at least understand what the problem is.如果你想找到解决办法,至少你必须明白问题所在。
778So one, come and learn about it.所以第一,来学习一下。
779We've got plenty of time.我们有足够的时间。
780I've got all the time in the world for this kind of stuff.我为这种事有时间
781And just come talk to us, come talk to our industry and learn.来和我们谈谈, 来和我们的行业谈谈和学习。
782The second thing is learn about the solution that we put in place第二点是了解我们提出的解决方案
783and try to see if we can make that, if there are ideas to make that better.试着看看我们是否能够做到这一点, 如果有想法使这一点更好。
784Of course, we're all completely open-minded.当然,我们都完全开明。
785But be constructive.但要具有建设性。
786Right.对
787And I thought that was part of the fourth point on the accord on super intelligence我以为那是关于超级情报协议的第4点
788was this is not static.这不是静态的。
789This is dynamic.这是动态的。
790This group is going to get together routinely.这个小组将定期开会。
791We're going to update the framework as required when the technology evolves.科技发展时,我们将根据需要更新框架.
792But I want to move forward now to compute.但我现在想继续计算
793Of course, long-running agents that work in teams of thousands or millions to solve当然 长期在千千万万团队工作的特工
794complicated tasks, it all consumes massively more compute.复杂的任务,都消耗了 大量的计算。
795Dylan, our friend at Semi Analysis, has said we're going to bring on board 43 gigawatts迪伦,我们在半分析公司的朋友, 已经说我们要带上43千兆瓦
796of new AI compute next year.新AI计算明年。
797Just to contextualize it, we'll share a chart with people online.为了了解情况,我们将在网上与人们分享一张图表。
798That's more than all of the AI compute that exists in the world today.这比今天世界上所有的AI计算要多.
799So we're going to bring that on board next year.所以明年我们就要把这事办好
800The year after that, another 40 gigawatts of compute.之后的一年,再计算40千兆瓦.
801You know where every single GPU is allocated.你知道每个GPU分配的地方。
802So as you sit here, does that sound right to you?所以当你坐在这里, 这听起来对吗?
803Do you think we're going to bring on that much compute?你觉得我们会用这个计算吗?
804And do you think that some of the things we're hearing out there about permitting issues你觉得我们听到的一些关于 允许的问题
805or bottlenecks in the supply chain or local protests,或供应链中的瓶颈或地方抗议,
806do you think the number is going to be materially different than that based upon what you're seeing?你觉得根据你所看到的 数字会有实质性的不同吗?
807I think the demand is definitely there and more.我认为需求肯定在那里,而且更多。
808The demand is definitely there and more.需求肯定在增加。
809The challenge, of course, is that there are a lot of obstacles.当然,挑战是有许多障碍。
810When you move from digital to the physical, there are a lot of obstacles.当你从数字移动到物理, 有很多障碍。
811There's land permitting.有土地允许。
812There's power generation that you've got to bring online.有发电,你必须带上网。
813Of course, you need construction workers and outfitters and plumbers and all kinds of—当然,你需要建筑工人 装配工和水管工 还有各种...
814Created a million new jobs just building these things.创造了一百万个新工作 仅仅建造这些东西。
815Created a million new jobs and their skills are not fungible.创造了一百万个新工作,他们的技能是不可替代的。
816They have a lot of skills, and particularly the ones that are building these他们有很多技能 尤其是那些正在建造这些
817$50 billion data centers, you're going to want some people with great skills.五百亿的数据中心, 你会想要一些有优秀技能的人。
818There's a critical part of every single one of the build out of these things where每一个建筑中都有关键的一部分
819you need some very specific skills.你需要一些非常特别的技能。
820I think that—and then there's, of course, whatever moratoriums that are happening,我想,然后,当然,不管 暂停发生什么,
821whatever issues that we're seeing around the country.无论我们在全国看到什么问题
822My guess is that land power shell, the build out resources will be one of the most important我猜,土地动力壳, 建造资源将是最重要的之一
823obstacles to reaching that.阻碍实现这一点。
824And so our company, as you know, now speaking specifically for us,所以,我们公司,你知道, 现在特别为我们说话,
825there are several things that we're doing to mitigate that.我们正做一些事情来缓解这种情况。
826Because we're the only company that serves every CSP.因为我们是唯一服务于每个CSP的公司.
827We serve every NCP.我们为每一个全国大会党服务。
828We have great enterprise businesses through Dell and HP and Lenovo and others.我们通过Dell和HP以及Lenovo等公司有伟大的企业业务。
829Because we serve every single industry and work across the entire life cycle of AI,因为我们服务于每一个行业 并在整个AI的生命周期工作,
830everything from, of course, data processing, to training, to post-training, to inference,当然,从数据处理到培训,到培训后,到推断,
831to agentic processing, and all of the tool use that we accelerate.用于代理处理, 所有的工具我们加速。
832Our exposure to our go-to-market is the largest of all.我们上市的机会最多
833Every contract manufacturer in the world is working on my behalf.世界上每个合同制造商都代表我工作
834Every go-to-market is connected to architecture.每个上市都与建筑有关.
835And so we have one particular state, one particular community,所以,我们有一个特定的州, 一个特定的社区,
836one particular data center has a hard time.一个特定的数据中心有一个困难时期。
837Our demand is so much greater than our supply at the moment.我们的需求比现在的供给大得多。
838We'll just adjust our supply chain accordingly.我们只需相应调整我们的供应链.
839The other thing that we have, and I don't love this answer as much,还有一件事,我不爱这个答案,
840but as you know, NVIDIA is also the infrastructure for the planet.但如你所知 NVIDIA也是地球的基础设施
841And so whether it's in Europe, and we've got early developments now in Africa,因此,无论它在欧洲, 我们已经有了早期的发展 现在在非洲,
842in Central Asia, in Southeast Asia, in Latin America, in Middle East, and so on and so forth.分布于中亚,东南亚,拉丁美洲,中东等地.
843And so I don't love that the United States can't keep up.所以我不喜欢美国跟不上
844But for our business specifically, we have such a global reach.但具体地说,对于我们的事业来说,我们具有如此广泛的全球影响力。
845And there's build-out demand all around the world.并且世界各地都有建设需求.
846If we don't build it out here, I think we just all have to recognize that every country in the如果我们不在这里建造它, 我想我们只要承认
847world has the potential to do that.世界有这样做的潜力。
848So I think that our business specifically is probably the most resilient.所以,我认为我们的业务 很可能是最有弹性的。
849And the reason for that is all the things that I mentioned.原因就是我提到的一切。
850We cover the entire spectrum of AI.我们覆盖了AI的整个范围.
851We cover the entire spectrum of computing.我们涵盖整个计算范围。
852We're in every single cloud, every single region.我们在每一个云层,每一个区域。
853And so the resilience of our company is much greater.因此,我们公司的复原力要大得多。
854But I do think that land, power, and shell is going to be a challenging part next year.但我确实认为,土地、权力和贝壳明年将是一个具有挑战性的部分。
855I guess what I hear from the street is there's this idea that maybe there's 50 gigawatts of我猜我从街上听到的是 这个想法也许有50千兆瓦
856announced chips that are underway or talked about, and maybe 35 to 40 gigawatts of land,宣布的芯片正在进行或讨论, 以及可能35到40千兆瓦的土地,
857power, or shell that might come online.电源,或者可能上线的壳体。
858So what compute fits into that land, power, and shell and on what timeline因此,什么计算适合 土地,权力,和贝壳 和在什么时间线
859is a question up in the air.是一个空中的问题。
860But I guess if we think of this through the entire-但我想如果我们从整个...
861Clark, just to interrupt you there.克拉克 打断你一下
862Of course, as you know, NVIDIA's architecture is the most productive.当然,你知道,NVIDIA的建筑是最有成果的.
863It generates the most tokens per watt.它能产生每瓦最大的符号.
864And so if the world's amount of watt, power, energy reduces.因此,如果世界的瓦特量,电量,能量减少。
865It shifts their choices to the most productive version.它将他们的选择转向最有成效的版本。
866And the reason for that is that they still want to make their revenues.其原因是他们仍然想要获得收入。
867And so all of my CEO colleagues, they all have high expectations for revenues next year.所以,我所有的CEO同事, 他们都对明年的收入抱有很高的期望。
868And they need to deliver it.他们需要送货
869Their shareholders are counting on them to deliver it.他们的股东要靠他们来交付。
870All their partners need them to deliver it.他们的所有伙伴都需要他们提供。
871And so when the amount of power reduces, the quality of the compute you put into it所以当电量减少, 计算的质量 你投入其中
872has to be the most extraordinary.必须是最不寻常的。
873We're the most productive computing resource you could put in the world today.我们是最有生产力的计算资源 你可以在今天的世界。
874We're the most rentable.我们是最可租的。
875We're fungible.我们是可替换的。
876And we're durable.我们很耐用
877And so the forces around the world, because of the shortage of resources,因此,由于资源短缺,世界各地的力量,
878is shifting interest towards us.我们的兴趣正在转移
879Our market share was already very high.我们的市场份额已经很高了。
880But surprisingly to everybody, not only are we a large company and our market share is high,但令人惊讶的是,我们不仅是一个大公司,而且我们的市场份额很高,
881our market share is actually increasing for these reasons.由于这些原因,我们的市场份额正在增加。
882And so you're going to see us go from-所以你会看到我们从...
883And because we offer so much more per gigawatt than we used to,因为我们每千兆瓦的价格比以前高很多
884we used to be a GPU company.我们以前是GPU公司
885Then we became the largest and fastest growing networking company.之后,我们成为规模最大,发展最快的网络公司.
886We're now going to be one of the largest CPU companies, surely the fastest growing one.我们现在将成为最大的CPU公司之一, 肯定是增长最快的公司。
887So because we're offering more and more, and we're in computing for storage,所以,因为我们提供 越来越多的, 我们正在计算存储,
888we're computing for the knowledge infrastructure.我们正在计算知识基础设施。
889And now we're in security with Open Shell and Sentry.现在我们与开放壳牌和哨兵处于安全状态.
890And so the offering that we offer into 1 gigawatt went from, I guess, about 18 billion or so per因此,我们提供的1千兆瓦的报价, 我猜,大约180亿左右
891gigawatt to 20-some-odd billion per gigawatt to now 40-plus per gigawatt.千兆瓦至每千兆瓦20亿多克,现在每千兆瓦40倍以上。
892And my sense is that that's going to keep on going up.我的感觉是,那会继续上升。
893And so not only are we growing share because people are shifting towards our computing platform,不仅因为人们正在转向我们的计算平台 而我们的份额越来越大
894we're also growing share because we offer more to the world's CapEx.我们还在增加份额 因为我们向世界CapEx提供更多
895And to the world, it's a dollar share of the market, yes.对世界来说,市场份额是一美元,是的。
896Yeah.对
897If you look at, just go back in just six years ago,如果你看看,仅仅在六年前,
898our percentage of the world's CapEx was in single digits.我们占世界CapEx的百分比是一位数字。
899Then I think right now with the world's CSPs, we're probably running about 40%.然后,我想现在 与世界的CSP, 我们可能运行约40%。
900But we're also expanding the market beyond the CSPs.但我们也在扩大市场 超越CSP。
901而CSP之外,无论是Prem还是Neclouds, 我们一半的业务,
902our percentage of CapEx is probably, what, 80%?我们的CapEx比例大概是,什么,80%?
903And so between half of our business being 40%, half of our business being 80%,我们一半的生意是40% 一半的生意是80%
904and both of us growing doubling every year.并且我们每年都要加倍
905And so you could see that our percentage of the world's CapEx is, in fact, even growing.所以,你可以看到,我们的比例 世界的CapEx,事实上,甚至正在增长。
906One of those buyers of Nvidia is somebody we talked about two years ago, Elon,Nvidia的一个买家 是两年前我们谈过的人 伊隆
907当他开始建造Corossus。
908And we were blown away a couple of years ago我们几年前就被炸飞了
909to see him stand up a couple of hundred thousand hoppers in Memphis.看着他在孟菲斯 站了几十万头黑猩猩
910And I remember you saying nobody can do it like him.我记得你说过 没人能像他那样干
911Now he's raising another 40 billion,现在他又筹了四百亿
912going to buy maybe a million plus Vera Rubens.可能要买一百万加薇拉鲁本斯
913He's moved from the case to the end.他从案移到终.
914He says he wants to have 10 gigawatts by the end of 2027.他说他希望到2027年底能有10千兆瓦.
915That's hundreds of billions spent on Vera Ruben.即以百千亿那由他佛剎微尘数世界.
916It's an unprecedented ramp at scale.规模空前的斜坡.
917You were with him again yesterday when he was also presented with a medal.昨天你又和他在一起,当时他还得到了一枚勋章。
918Is Elon that much better at building compute today as he was then?伊隆今天能像当时那样计算得更好吗?
919Is it now obvious to you?你现在看清楚了吗?
920Is it a foregone conclusion that SpaceX will be the largest AI hyperscaler in the world?SpaceX会不会是世界上最大的AI超标器?
921Well, we used to, in the two parts of our chart, Elon used to be嗯,我们曾经,在我们图表的两个部分, 伊隆曾经是
922under Enterprise.在企业号下。
923That's the way we reported in our numbers.这就是我们报告的数字。
924Now he's part of our CSP.现在他加入了我们的CSP
925Of course.当然
926They're massive.他们是巨大的。
927I'm delighted that I love working with Elon.我很高兴我喜欢和伊隆合作
928He's using our technology for his own AI他用我们的技术做自己的人工智能
929in training models and such, deploying models, of course.当然,在培训模式和此类,部署模式。
930Grokbot is格罗克博特是
931super cool.超级酷。
932对Grokbot的需求 对Grokbot的消费 正在猛增
933Then of course, he rents it.当然是他租的
934The combination of these three things,这三件事的结合,
935he's fairly unique in doing that.他是相当独特的 做到这一点。
936I guess Google does that.我猜谷歌会这么做的
937That would be yet another example.这将是另一个例子。
938I think he also has the advantage that he loves the intersection between computing我觉得他也有他喜欢计算之间的交汇点的优势
939and the physical build-outs.和身体积聚。
940He loves that whole area and nobody knows more about energy than he他爱那个地区,没有人比他更了解能量
941does.当然
942One particular new market that we're going to go explore together is putting data centers out我们一起探索的一个新市场 就是建立数据中心
943in space.在空间。
944Our two engineering teams are working super closely together to create a new type of我们两个工程团队正密切合作 打造一种新型的
945server, a new type of architecture that might be super good in space and on Earth.服务器,一种在太空和地球上可能超好的新型建筑.
946We saw that Starship launched last week, had its first orbital rendezvous and was launching我们看到星舰上周发射 第一次轨道会合 正在发射
947those V3 Sats that literally captured the imagination and broke Twitter for a moment.那些V3赛特 字面上吸引了想象力 打破了微博片刻。
948Just people mesmerized by watching these launch into space.看着这些飞船飞到太空 让人迷惑
949I can't wait to be a payload.我迫不及待想成为载荷
950I mean, not personally.我的意思是,不是个人。
951Do you have increasing confidence that we will have a material amount of compute in space你是否越来越相信 我们将会在太空中大量计算
952via Starship by let's call it 2028, 2029?通过星舰让我们称之为2028,2029?
953Elon's put some big numbers out there,伊隆把一些大数字 在那里,
954but do you think that we can get to material inference in space in that time frame?但是,你认为我们可以 得到物质推论 在这个时间范围内的空间?
955只有NVIDIA计算.
956Let me tell you why.让我告诉你为什么。
957It's not just about the technology.不仅仅是技术
958NVIDIA's performance per unit energy is the world's best.NVIDIA的单位能量性能是世界上最好的.
959We call it performance watt.我们称之为性能瓦特。
960But the most important thing is this.但最重要的是这个。
961The productivity of NVIDIA's compute is so good,NVIDIA的计算效率好极了
962meaning the return on invested capital is so good that you could put it out in space意思是投资资本的回报是那么高 你可以把它放进太空
963and the launch cost is a small percentage of it.而发射费用只占其一小部分。
964The launch cost is not inconsequential.发射费用并非不必要。
965You're not going to put low cost computing out there.你不会把 低成本的计算在那里。
966You're going to put high value computing你会把高价值的计算
967out there.那边
968We're the highest value computing system you could imagine.我们是你能想象的最高值计算系统
969The highest computing最高计算
970system in the history of computing.计算史上的系统。
971And so we're the perfect fit, really, to launch into所以,我们是最合适的,真的,发射进入
972space right now.空间现在。
973Irrespective of the launch cost, it'll still be excellent ROI.无论发射费用如何,它仍将是出色的ROI.
974So do we get 500 megawatts in space by 29?那么到29点我们就能得到500兆瓦了?
975Well, I'll let him tell you, but I think-我会让他告诉你的 但我想...
976Is it possible?有可能吗?
977Elon's launching伊隆发射
978100 launches a year right now.现在每年发射100次
979I don't know what exactly it is.我不知道这是什么
980It's going to go to multiple a day.一天要进行多次
981Yeah, right.没错
982And so you could put Vera这样你就可以把薇拉
983Rubin's in there and it'll justify it.鲁宾在那里,它会证明这一点。
984The demand is there.需求就在那里。
985His return on investment is so good on他的投资回报是那么好
986it.这个
987And so the productivity is excellent.因此,生产力是极好的。
988It's fungible, meaning you put a satellite out in space.它是可替换的, 这意味着你把卫星 出太空。
989If you don't have a customer to go rent it, it's at idle and you certainly don't want that.如果你没有客户去租, 它闲着,你当然不希望。
990And so这样
991NVIDIA compute is going to be fully fungible and there'll be lots and lots of renters.NVIDIA计算会是完全可替换的 并且会有很多的租户。
992We work with every single close model company in the world.我们与世界上每一个亲密的模型公司合作。
993We run every single open model我们运行每一个公开模式
994in the world.在这个世界。
995We have thousands of startups working with us, so enterprise is around and every single我们有成千上万的初创企业 与我们合作, 所以企业是周围和每一个
996single industry, and so the computing is completely所以计算是完全的
997fungible and is durable.可替换且持久。
998You'll sit up there, and the reason for that你会坐在上面, 原因
999is because we keep coup to upgrading the software.因为我们不断变换软件
1000We're the only hardware company in the world我们是世界上唯一的五金公司
1001that you pay us eight years ago, and we're still你付我们八年前, 我们仍然是
1002updating your software, new algorithms.更新您的软件,新的算法。
1003And so we'll update the software for as long所以我们会更新软件 长久
1004as the satellite's up there, and so it's卫星就在上面 所以
1005going to be really durable.将是非常持久的。
1006And so I think the combination of these three traits,所以我认为这三个特征的结合,
1007along with the technology, makes it the perfect payload与技术,使它成为完美的有效载荷
1008for SpaceX.空间X。
1009It costs trillions of dollars to build all this CapEx.建造这些CapEx要花费数万亿美元.
1010You guys have leveraged your own balance sheet你们借了自己的资产负债表
1011to help folks like the neoclouds build that out.帮助像新云的人 建立它。
1012In order for finance people to get it to pencil out,为了让金融界的人把它拿出来
1013they need to see payback.他们需要看到回报。
1014You talked about some companies seeing one year payback,你说过有些公司要赔一年
1015$50 billion in the first year, some spot pricing out第一年500亿美元,一些现货定价
1016也许是SpaceX
1017But if I look at the total incremental offtake,但是,如果我看看总的增量,
1018the revenue of all the labs this year.所有实验室今年的收入。
1019So if I add up the two frontier labs,如果我把两个前沿实验室加起来
1020oh yeah, get yourself a snack, and we add up哦,是的,给自己一个小吃, 我们加起来
1021some of the inference labs, it's about $200 billion.一些推断实验室,大约是2000亿美元。
1022We need to see that double next year to $400 billion.我们需要看到明年的两倍到4000亿美元。
1023We need to see it double the year after that to $800 billion.我们需要看到这一年翻一番,达到8000亿美元。
1024In order to get in the zip code of the payback为了得到回扣的拉链码
1025以万亿计的CapEx,
1026we had this massive unlock this year with Claude Cohn今年我们和克劳德·科恩 一起解锁了这个大锁
1027that led to a 10x increase in anthropics revenues.导致人类学收入增加10倍
1028What's your confidence that the labs can continue你对实验室可以继续的信心是什么?
1029to 2 to 3x their revenues every year每年收入2至3倍
1030in order that we get the payback that's为了得到回报
1031going to be required to build out需要建造
1032几万亿美元CapEx?
1033I mean, you're investing in these companies.我是说 你在投资这些公司
1034You have big investments in these companies, right?你对这些公司投资很大,对吧?
1035Do you see that level of growth continuing你看到这种增长水平在继续
1036in these companies?这些公司?
1037Oh yeah.对
1038People misunderstand what's going on.人们误解了发生了什么。
1039So first of all, particularly, I mean,所以首先,特别是,我的意思是,
1040NVIDIA represents, call it 80% of the revenue shareNVIDIA代表,称之为收入份额的80%
1041(原始内容存档于2019-09-21). Introduction of AI basicity in the world today.
1042And so my description of the universe of computing,所以我对计算宇宙的描述
1043NVIDIA computing matters here.NVIDIA计算在这里很重要。
1044They really basically call it three segments,他们基本上称之为三段
1045three large segments.三个大块
1046It's probably slightly more than that,可能不止这些
1047but let me just kind of categorize让我来分类一下
1048it in three large segments.分为三部分
1049The first segment of our computing我们计算的第一个环节
1050is just baseline computing, just meaning只是基线计算而已,只是意思
1051used for data processing, molecular dynamics,用于数据处理、分子动力学、
1052physics simulation, fusion simulation,物理模拟 核聚变模拟
1053fission simulation, you name it, right?裂变模拟,你说的对吗?
1054Quantum chemistry, quantum physics, and so everything.量子化学,量子物理,等等
1055The world of simulation and data processing,模拟和数据处理的世界,
1056not to mention computer graphics.更不用提计算机图形了。
1057And so all of that processing done on our GPUs,所以所有的处理 我们的GPU,
1058if you just kind of said there was no AI at all, just如果你只是说 根本没有AI,只是
1059古典机器的学习,XGBoost at Visa,
1060my master card for fraud detection,我调查欺诈的卡片
1061recommender systems to figure out建议系统
1062what news to recommend to you, just all of that stuff什么消息给你推荐, 只是所有的东西
1063combined, classical computing, not AI, not deep learning,结合,古典的计算,不是AI,不是深刻的学习,
1064not agentic systems, I'm going to call it不是代理系统,我要称之为
1065a third of our business.我们的三分之一生意。
1066And that business is growing, call it 30%, 40% per year.这个企业正在增长,叫它每年30%,40%。
1067In the absence of any AI labs, NVIDIA is not zero, right?在没有任何AI实验室的情况下,NVIDIA不是零,对不对?
1068We're quite a large company.我们是一个很大的公司。
1069And so that's number one.所以这是第一。
1070The second part is the AI labs, people see two,第二部分是人工智能实验室 人们看到两个
1071but we work with every one of them.但我们和他们每个人都合作
1072And Metamuse is doing fantastic, right?梅塔缪斯做的很棒,对吧?
1073And it's vastly NVIDIA.并且它是巨大的NVIDIA。
1074And there were zero last year, or a year before that.去年是零, 或之前的一年。
1075There were just recommender systems,只有推荐系统
1076and now they're killing it with Metamuse.现在他们和梅塔缪斯一起杀了它
1077And of course, Grok didn't exist three years ago.当然,格罗克3年前就不存在了
1078We didn't run Gemini before, we run Gemini now.我们以前没有管理双子座 我们现在管理双子座
1079And starting this year, we started working with Anthropic.从今年开始,我们开始和Anthropic合作。
1080And so if you just kind of look at our compute,所以如果你看看我们的计算
1081people see a couple of labs, but I see more than that.人们看到几个实验室, 但我看到更多的。
1082I see five, six labs, OK?我看到5,6个实验室,好吗?
1083And so these labs are all doing great.所以这些实验室都很好。
1084And if you told me that that represents如果你告诉我这代表
1085not quite one third of our business,我们没有三分之一的事
1086let's say a quarter of our compute, fantastic.我们算出四分之一,太棒了
1087So let's say that's a quarter.因此,让我们假设这是四分之一。
1088当人们看80 NVIDIA,
1089and we now run the infrastructure of the world,我们现在管理着世界的基础设施,
1090and I just said 25% of it, maybe 30% of it我只是说25%,也许30%
1091is the Frontier Labs.是前沿实验室
1092Call it a third is just processing in general.把它称为第三 只是一般的处理。
1093And another third, this is the part that's really great.第三个,这是真正伟大的部分。
1094Because we're at the beginning of a new computing platform因为我们正处在一个新的计算平台的开端
1095shift, just a vast number of new startups are coming out.移动,只是大量的新的初创企业正在出现。
1096So many great companies.这么多伟大的公司。
1097And some of them are, of course, doing consumer stuff.当然,有些人在做消费者的事情。
1098One of them really doing great, Noah Instinct.其中之一真的做得很好,诺亚Instinct。
1099I was just going to mention that.我只是想提一下这一点。
1100Noah's doing great.诺亚做得很好
1101To all kinds of physical AI, biological AI, material各种物理AI,生物AI,材料
1102sciences AI, Jeff Bezos, this new company, Prometheus,科学AI,杰夫·贝佐斯,这个新公司,普罗米修斯,
1103they're doing fantastic.他们做得很好。
1104So the number of companies across the spectrum因此,公司的数量 横跨范围
1105of industries that have been started, thousands of them.数以千计的工业。
1106And what do they do?他们做什么的?
1107他们租NVIDIA电脑。
1108So they're renters.所以他们是租来的
1109And so what is a third of our business我们的三分之一生意是什么
1110is kind of cloud computing for the next generation.是下一代的云计算
1111It's kind of like AWS for today.今天有点像AWS
1112And so it's just not AWS for the future.所以它只是不是AWS 对于未来。
1113And that represents about a third of our business这占我们业务的三分之一
1114altogether.完全没有。
1115My sense is that we're in the early innings of the build out我的感觉是,我们是在 早期的建设
1116of this new computing architecture.这个新的计算结构。
1117And it's a real big mistake to recognize认错是大错特错
1118just a couple of companies and think that they're只是几家公司 认为他们是
1119funding the infrastructure.资助基础设施。
1120And then one observation, open models.然后一个观察,开放模型。
1121You know that I've been a great advocate of open models.你知道我是公开模特儿的好倡导者
1122And the reason for that is because open models opens up原因是开放的模型打开
1123new opportunities.新的机会。
1124If you look at all these startup companies, 80% of them如果你看这些创业公司,80%
1125use open models.使用开放式模型。
1126And they're not using it to compete with the frontier labs.他们不会用它和前沿实验室竞争
1127They're using it to unlock a new opportunity somewhere else.他们利用它打开 一个新的机会在别的地方。
1128It could be in physical AI.可能是在身体上的人工智能里
1129It could be manufacturing.它可能是制造的。
1130It could be health care.这可能是保健。
1131They're doing something completely, completely他们正在做一些完全,完全
1132different.不一样
1133And they're taking these open models and many of them他们正在采取这些公开模型 和许多
1134taking Nemotron.带走尼莫特隆
1135And these models are then customized然后这些模型被定制
1136into super intelligence.进入超级智能。
1137And so if you will, I kind of see所以,如果你愿意,我有点看到
1138that the general closed labs will一般关闭的实验室会
1139be artificial general intelligence.成为人工一般智能。
1140And it gets super good.它变得超级好。
1141And then you have all these vertical companies然后你有所有这些垂直公司
1142that are focused on a particular domain.以特定领域为重点。
1143And they have their proprietary data.他们拥有自己的专有数据。
1144They teach it to do something very specific.他们教它做一些非常具体的事情。
1145And they achieve super intelligence他们实现了超级智能
1146for their domain.他们的领地。
1147So you don't see, so again, if we go to your compute math,所以,你不明白,所以再次, 如果我们去你的计算数学,
1148which I think a lot of people are我认为很多人都是
1149using to forecast the future revenues of the labs,用来预测实验室的未来收入,
1150for example, you said, hey, if you stand up比如你说 如果你站起来
1151a gigawatt of this compute, you can get $40, $50 billion这个计算值的千兆瓦,你可以得到400,500亿美元
1152out the other end.在另一边
1153But if we took the number we talked about earlier,但如果我们拿了刚才提到的号码
115440 gigawatts of compute coming online next year,明年有40千兆瓦的计算机上线
1155and if you took $40 billion out the other end,如果你把400亿美元 从另一端,
1156that would be $1.6 trillion of revenues coming out相当于1.6万亿美元的收入
1157the other end of that factory.工厂的另一端。
1158But of course, there's something,但当然,有些东西,
1159it doesn't work that way.那样不行
1160At the end of the day, you've got最终,你得到了
1161to look at the demand curve and the rate of diffusion以查看需求曲线和扩散速度
1162to determine the revenue that's going to come out来决定收入会增加多少
1163the other end of the factory.工厂的另一端。
1164And what I hear a lot is that people are nervous.我听到的是人们很紧张。
1165They've seen over the course of the year一年中他们见过
1166maybe the lab's revenues slowing down a little bit.也许实验室的收入 放慢了一点。
1167And they're nervous that at some point,他们很紧张,有些时候,
1168you're going to have the proverbial bubble popping,你会有 谚语气泡弹出,
1169where we have more supply coming online than we have demanded网上供应比我们要求的要多
1170a moment in time, that AI is more like these step functions一瞬间,AI 更像这些步骤功能
1171rather than just this parabolic line straight up.不只是这个抛物线直上。
1172I guess the question to you is, are you我猜你的问题是,你
1173worried about a moment in time where everybody gets nervous担心在某一刻 每个人都会紧张
1174about financing the build out, and then有关建设资金,然后
1175we don't get the build out?我们没有把建筑弄出来?
1176Well, all these different things,那么,所有这些不同的东西,
1177you've just got to break it down.你只需要打破它。
1178Break it down back down to first principles.拆解为第一原则.
1179And the part that people are trying to extrapolate,而人们试图推断的部分,
1180the $100 billion of ARR, $125 billion of ARR价值1 000亿美元,价值1 250亿美元
1181they're trying to extrapolate, is a small part,他们试图推断, 是一个小部分,
1182not a small part, it's just a part,不是一小部分,这只是一部分,
1183of the overall infrastructure build out.总体基础设施建设。
1184And so the question is, are people所以问题是,人是
1185going to continue doing shopping online?继续在网上购物?
1186So that third of the build out, let's call that a third,因此,三分之一的建筑出来, 让我们称之为第三,
1187you said it's a third of your business, take that to the bank.你说这是你三分之一的生意, 拿到银行。
1188That's not even a debate.这甚至不是一个辩论。
1189So a third of the build out is going to hurt.所以三分之一的建筑会受伤。
1190I said a few couple, was it a couple years ago,我说几对夫妇, 是几年前,
1191that as we exit this decade, infrastructure build out当我们走出这十年, 基础设施建设
1192will probably be somewhere between $3 to $4 trillion a year.每年大概有3到4万亿美元左右
1193Obviously, it's closer to $4 than it is closer to $3.很明显,比起3美元它更接近4美元.
1194Per year.每年。
1195Per year, yeah.每年,是的。
1196By the end of the decade.至十年终.
1197Yeah, and if you said that $1.5 trillion of that,是啊,如果你说1.5万亿美元,
1198let's just compute.让我们只是计算。
1199Just compute.只是计算。
1200Now, why is it going to be so big?为什么会这么大?
1201Well, it was half a trillion before AI started.好吧,这是半兆 之前AI开始。
1202Right.对
1203And if I told you that over the course of some six, seven,如果我告诉你, 在大约六,七的过程中,
1204eight years, it became $1.5 trillion八年,变成一万五千亿
1205because the world is just consuming more compute,因为世界正在消耗更多的计算,
1206I mean, that's not illogical.我的意思是,这不是不合逻辑的。
1207On top of this, remember, Moore's Law is over.除此之外,记住,摩尔定律已经结束了.
1208There was a time, if you want to get twice as many transistors,曾经有过, 如果你想得到两倍的晶体管,
1209you just wait one year.你只要等上一年时间
1210And if you want twice as many transistors,如果你想要两倍的晶体管,
1211get another, wait one year.再拿一个,等一年
1212Same price.同样的价格。
1213But if you want twice as many transistors now,但如果你现在想要两倍的晶体管
1214doesn't matter how long you wait,无所谓你等了多久
1215you have to pay twice as much, OK?你得付两倍的钱,好吗?
1216Because Moore's Law is over.因为摩尔定律结束了.
1217And so whatever computing capacity that the world wants,所以不管世界需要什么计算能力
1218every single year, if you want twice as much,每年,如果你想要两倍,
1219you're going to pay twice as much.你要付两倍的钱
1220And so on top of that half a trillion dollars that因此,在半兆美元之上,
1221was kind of growing just naturally那种生长 只是自然
1222because the world just used more and more digital,因为世界只是使用 越来越多的数字,
1223you're going to have to effectively give it an X factor你得给它一个X因素
1224just to account for the fact that Moore's Law is over.就是为了说明摩尔定律结束了
1225And so without AI, the semiconductor industry所以没有AI,半导体工业
1226was on its path to become the largest industry in the world.正在走向成为世界上最大的工业。
1227And I've mentioned that long ago, just people forgot.我早就提到过,只是人们忘记了。
1228This is one of those things that I said.这是我说过的话之一。
1229I just said that two years ago, yeah.两年前我刚说过,是的。
1230So that's just one part.所以这只是一部分。
1231And so the only thing that we, and then don't forget,所以只有一件事,我们,然后不要忘记,
1232because we're in a new computing platform shift,因为我们在新的计算平台转变,
1233there are going to be a whole lot of startups.有很多的创业者
1234Innovation is part of the economy.创新是经济的一部分。
1235New companies come.新公司来了
1236And we said it's accelerating.我们说它正在加速。
1237So if we spent, if you go back to Moore's Law,所以如果我们花了, 如果你回到摩尔定律,
1238general purpose compute, $5 billion per gigawatt.一般用途计算,每千兆瓦50亿美元。
1239今天一个Vera Rubin是50美元。
1240So the question is, is Vera Rubin所以问题是 薇拉·鲁宾
1241deliver 10x more value in the world?给世界带来10x的更多价值?
1242The punch line is, I don't think it's necessary to extrapolate句子是,我觉得没必要推断
1243any of the labs into multiple trillions of dollars.任何实验室都变成数万亿美元。
1244Unnecessary to do that.没必要这么做
1245I think that's a, I mean, it's an important one.我认为这是一个,我的意思是, 这是一个重要的。
1246Because I think people, we just saw yesterday,因为我认为人们, 我们刚刚看到昨天,
1247even in the market, some chatter about,即使是在市场上, 一些闲聊,
1248was OpenAI's revenue $70 billion or $50 billion?OpenAI的收入是700亿美元还是500亿美元?
1249I think you and I-我觉得你和我...
1250They're gonna be insanely successful companies.他们会是疯狂成功的公司。
1251Correct.没错
1252But you saw the pullback但你看见了撤退
1253in a lot of the infrastructure companies, right?在很多基础设施公司,对不对?
1254担心OpenAI没有钱
1255won't have the money in order to pay for the infrastructure.没有钱来支付基础设施。
1256I think the point that you're hammering home我认为你正在敲敲回家
1257is that when we look at the 40 gigawatts是,当我们看 40千兆瓦
1258of infrastructure built out next year,明年建成的基础设施,
1259at least a third of it is just going to, right,至少有三分之一是要去,对吗,
1260general purpose compute replacement,通用计算替换,
1261the basic stuff out of the hyperscalers.基本的东西 出超尺度。
1262That a third of it's going to kind of三分之一会有点
1263NeoCloud, Sovereign, Enterprises,新云,主权,企业,
1264everybody else who's using this, all the startups.其他人谁使用这个, 所有启动。
1265And a third of it's going to not two labs,三分之一不会有两个实验室
1266but to many labs, right, including Grok但很多实验室,包括格罗克
1267and Thinking Machines and all the other-思考机器和所有其他东西...
1268We're putting way too much pressure on two labs.我们给两个实验室压力太大了
1269Yeah.对
1270I'm delighted to partner with them and support them.我很高兴和他们合作 支持他们
1271They're gonna be two of the most consequential他们将会是两个 最大的后果
1272technology companies ever built in history.科技公司在历史上曾兴建.
1273They're gonna be magnificently successful.他们会非常成功
1274But they don't have to be anywhere near a trillion dollars但他们不必接近一万亿美元
1275in revenues to be successful.收入是成功的。
1276Right, right.对,对。
1277And I think we're putting way too much pressure on that.我觉得我们给这个压力太大了
1278And then the rest of the industry,然后其他的行业,
1279we still do have to build out a few trillion dollars我们还是得赚几万亿
1280of computing infrastructure.计算基础设施。
1281Just to keep going, let's shift a little bit.继续走,我们换位
1282How good is this, you guys?这有多好,你们?
1283By the way, what are these called?顺便说一下,这些叫什么?
1284These are dried plums.这些是干梅子
1285Dried plums, the old dried plums.干梅,旧干梅.
1286Yeah, this one particular store in Taiwan对,台湾的这家店
1287is one of my favorites.是我的最爱之一。
1288Kind of a licorice-y.有点甘草
1289There is licorice, yeah, licorice.有甘草,对,甘草。
1290A little licorice-y.一点甘草
1291Salt, sugar, cinnamon.盐,糖,肉桂.
1292Yeah, that's a little twang to it.是啊,这是有点淡。
1293Yeah, yeah, you got it, you know?是啊,是啊,你得到了它,你知道吗?
1294Yeah.对
1295Okay, you said as to next year,好吧,你说明年,
1296demand for Nvidia's chips, well over 100%.对Nvidia的芯片的需求 超过100%
1297You guided to 70% revenue growth.你引导了70%的收入增长。
1298You gave a year forward look你往前看一年了,你给我看一年
1299because you said supply's constrained.因为你说供应有限
1300That's all I had at the time.我当时只有这些
1301That's right.没错
1302I got 18 months to work.我还有18个月要工作
1303Right, you said you were very confident.你说你很自信
1304I'll come to work every day.我每天都会来上班
1305You said very confident and plenty of time你说很自信,还有时间
1306to work with the supply chain to do even better.与供应链合作,以做得更好。
1307You expected to do even better你本来想做得更好
1308and then not disappoint customers.而不是让顾客失望
1309So are things going even better?事情还顺利吗?
1310And has the order book continued to grow?订单书是否继续增长?
1311Because the other part of that is, right,因为另一部分是,没错,
1312you took a snapshot at a moment in time你一瞬间拍了个快照
1313and of course people are continuing to place orders.当然人们在继续下命令
1314So do you think there's enough slack in the supply chain所以,你认为供应链有足够的松懈
1315you can squeeze more out?你可以挤出更多的?
1316And is the order book continuing to grow命令书还在继续增长
1317as more of these capabilities are unlocked?更多这些能力解锁?
1318For the moment, I'll tell you why I told everybody.现在,我告诉你为什么我告诉大家。
1319The challenge that we have is we have giant order books.我们面临的挑战是,我们有巨型订单。
1320每个CSP,每一个NCP,
1321every single OEM had already placed orders on us.每一个OEM已经给我们下了命令
1322Startups, big companies, small companies,创业、大公司、小公司
1323they already placed orders on us.他们已经给我们下了命令
1324And the reason for that is because we work with them on it,原因是我们和他们合作
1325depending on the size of the customer,根据顾客的大小,
1326at least a year for the largest ones, two years forecast.最大国家至少一年,预测两年。
1327And so we already have a very large order book.我们已经有了一本大书
1328And because I was in a process of allocating因为我正在分配
1329and what I was allocating to all of our customers以及我分配给所有顾客的
1330is a lot less than they wanted.比他们想要的要少得多
1331If I didn't publicly say what we had,如果我不公开说出我们所拥有的一切
1332everybody would be second guessing,每个人都会是第二个猜测,
1333are they short-changed, are we being, you know?他们是短小的改变, 我们是在,你知道吗?
1334And so it was my way of essentially handling所以这是我处理的方式
1335every single conversation where I'm disappointing people.每一次我让人失望的对话
1336And let's say that-这么说吧...
1337So pretty much every customer would buy more from you几乎每个顾客都会从你那里买更多
1338if you could deliver more.如果你能提供更多。
1339By far.远曰.
1340And then since then, of course,从那时起,当然
1341we have new orders almost weekly and daily.我们有新的订单 几乎每周和每天。
1342And so in addition, however, we're getting more supply此外,我们得到了更多的供给
1343and some of the supply that is limiting us和一些限制我们的供应
1344is land power shell downstream.下游是陆地动力壳
1345And so a couple of weeks ago,所以几个星期前
1346we announced two gigawatts in Australia.我们在澳大利亚宣布了两千兆瓦
1347And so that's a very big deal.所以,这是一个非常大的问题。
1348Two gigawatts to us is like $80 billion.两千兆瓦就等于800亿美元
1349Huge.巨大的。
1350And then I'm hoping when I go to Europe with UTC,我希望当我去欧洲与UTC,
1351we'll be able to announce some new partnerships there我们可以在那里宣布一些新的伙伴关系
1352and unlock more land power shell.并打开更多的土地动力壳。
1353And so this land power shell is clearly one of the obstacles这颗陆地动力壳显然是障碍之一
1354and this is an area where NVIDIA has a huge advantage.这是NVIDIA拥有巨大优势的地区
1355Because based on what we build,因为我们的建设,
1356if there's a NeoCloud and this NeoCloud如果有新云和这个新云
1357like Coreweave or Nebius,就像科里韦或尼比乌斯
1358and they would like to scale out their business,他们想扩大他们的生意,
1359NVIDIA有整个堆叠,
1360complete infrastructure.完整的基础设施。
1361And so we could support them as their scale out.这样我们就可以支持他们,让他们扩大规模。
1362And so we could build in places这样我们就可以建造一些地方
1363and we can build with partners and customers我们可以与合作伙伴和客户一起建设
1364that nobody else can.别人都做不到
1365And so I think this gives us a lot more resilience,所以我认为这给了我们更多的弹性,
1366but nonetheless, as we continue to increase supply然而,随着我们继续增加供应
1367upstream and downstream,上游和下游,
1368one of the critical areas is substrate.其中一个关键领域是基底。
1369Substrates are getting larger and there are more chips.底物越来越大,还有更多的芯片。
1370And so it's working against them in two ways.因此,这在两个方面对他们不利。
1371Every single chip that's being shipped运来的每一个芯片
1372uses more of the material.使用更多的材料。
1373And so these organic materials are really hard所以这些有机材料真的很难
1374to make it the precision that we need让它达到我们需要的精确度
1375because as the packages get larger,因为随着包裹的扩大
1376the thermal coefficients and the way we stack things热系数和我们堆放东西的方式
1377make it really hard to handle things like warpage很难处理像战争页之类的事情
1378and various manufacturing defects.和各种制造缺陷。
1379And so at the scale that we do,因此,在我们做的规模,
1380we have to be very precise我们必须非常精确
1381and we need really great partners.我们需要真正的伟大的伙伴。
1382And so that's supply constraint.这就是供应的制约。
1383Those are just some examples.这些只是一些例子。
1384Silicon photonics is supply constrained.硅光子供应受到限制。
1385And so everything is supply constrained.所以一切都是有限的供给。
1386And so we're gonna keep working on it.所以我们要继续努力
1387I have 18 months to do so.我还有18个月可以做
1388Every single week that goes by, we increase.每过一周,我们就增加。
1389But nonetheless, we keep increasing more supply但尽管如此,我们继续增加供应
1390and the order books keeps going up.和命令书不断上升。
1391And so it's gonna be hard to close that gap所以很难弥补这个缺口
1392for a few years.几年时间
1393Take a look at this chart.看这个图表。
1394This is like a deposition.这就像一个证词。
1395No, that's right.不,没错。
1396Excuse me.对不起。
1397Now usually it goes like this.现在通常是这样的
1398Mr. Huang, please now look at it.黄公子请今看.
1399Good deposition.良好的证词。
1400Okay, so the gray line, this was the consensus好吧,所以灰色线,这是共识
1401at the start of 2025.在2025年初。
1402This was the consensus for NVIDIA at the start of 2025.这是在2025年初对NVIDIA的共识.
1403The blue line was altimeters forecast way back then.蓝线是高程预报 早在那时。
1404So we were a lot higher than the consensus.所以我们比共识高得多。
1405The green line is now where the new consensus绿线现在是新的共识所在
1406is based upon your guidance.这是基于你的指引。
1407And so one of the things that blows my mind about this所以有一件事让我心烦意乱
1408is the 25 people who get paid to just forecast是25个人的薪水 刚刚预测
1409what this company is going to do,这家公司会怎么做?
1410their consensus of all their ideas, right,他们的共识 他们的所有想法,正确的,
1411was off by a couple hundred percent, right,被关闭了百分之百,对不对,
1412just at the beginning of 20.20岁开始
1413Oh no, it's time last year.哦,不,这是时间去年。
1414At this time last year, not even 25.去年这个时候,甚至没有25个。
1415This green line?绿线?
1416Yes, that was the consensus at this time last year.是的,这是去年这个时候达成的共识。
1417Okay, one year ago.好吧,一年前。 - 好吧,一年前。
1418We did that last week.我们上周就这么做了
1419Okay, so in a year, the consensus forecast好吧,一年后,共识预测
1420has shifted up by 100 to 200% for this company.这家公司已经上调了100到200%
1421Extraordinary, like in my 20 plus years of doing this,特别的,就像在我的20多年 这样做,
1422you don't often see consensus being off by that much.你并不经常看到共识 被这么多。
1423And yet the stock's only up 20%, okay?但股票只有20%,好吗?
1424You literally doubled what the revenue forecast was你将收入预测翻了一番
1425and the free cash flow forecast was for the company.而免费现金流预测是公司。
1426You're now trading at 13 to 14 times earnings你现在以13到14倍的收入交易
1427depending upon who you're looking at.看你在看谁
1428So what do you think the market is saying你觉得市场在说什么?
1429about Nvidia or about the confidence关于恩维迪亚或信心
1430in the expectations of the market, right,对市场的期望,正确的,
1431to cause that to be the case?导致这种情况?
1432Because usually if you see it shift up by that much,因为通常,如果你看到它 转移了这么多,
1433the stock would have shifted up by a lot more.股票本会增加很多
1434First of all, for a company to be as large as us首先,公司要和我们一样大
1435gaining share tells you something about the resilience获取股份 告诉你一些关于韧性
1436and the size and scale of our advantage.以及我们优势的规模和规模
1437Is that advantage increasing or decreasing?这种优势是增加还是减少?
1438Increasing, increasing, increasing, increasing, increasing.增增增减.
1439Your competitive moat is increasing at scale.你竞争的护城河正在扩大
1440Yeah, let me give you an example.我举个例子
1441Let's just do a thought experiment right now.我们现在做个思考实验
1442If you had to hand somebody a $100 billion check如果你要给别人一千亿的支票
1443to place a purchase order right now for a next generation.给下一代下订单
1444If you want to get in line for Vero Rubin Ultra,如果你想为维罗・鲁宾・乌特拉排队
1445it's close to placing order time.时间快到了
1446Wow.珃
1447Sight unseen.看不见
1448Yeah.对
1449Right?对吧?
1450But they have the confidence.但他们有自信。
1451And so let's say there's a,因此,让我们假设有一个,
1452you got to place $100 billion on somebody.你得给某人上一千亿美元
1453One.一个
1454How do you know it's going to be any good?你怎么知道会有什么好事?
1455但因为Nvidia建造它,
1456你知道这会比Vero Rubin更好
1457And Vero Rubin's awesome.和维罗鲁宾的真棒。
1458And the reason why Vero Rubin,而为什么维罗鲁宾,
1459the reason why everybody had confidence in Vero Rubin所有人都对维罗鲁宾有信心的原因
1460is because Grace Blackwell was awesome.因为格蕾丝・布莱克威尔很棒
1461And the world of computing,和计算的世界,
1462the workloads that these computers do are so complex.这些计算机的工作量如此复杂。
1463You can't just have like measure one benchmark.你不能像衡量一个基准。
1464Right, right.对,对。
1465You know, it's $50 billion.你知道,这是500亿美元。
1466Yes.对
1467And the number of technologies that have to come together以及必须结合的技术数量
1468to deliver the performance is insane.表演是疯了。
1469You know?你知道吗?
1470And so the question is,所以问题是,
1471sight unseen,看不见,
1472who can you place a $50, $100 billion order on?你能给谁5千亿一千亿的订单?
1473Yeah.对
1474We're literally the only one.我们是唯一一个
1475Yeah.对
1476Now, back when it was place a PO,现在,当它是一个PO,
1477a billion dollar PO,10亿波兰比索,
1478that was challenging enough.这已经够有挑战性的了。
1479But if you had placed a $100 million PO但如果你放了一亿波兰元
1480and the system is sitting right in front of you,系统就坐在你面前
1481you could benchmark the chips.你可以把芯片作为基准
1482Right.对
1483Right?对吧?
1484How do you benchmark these systems?你如何衡量这些系统?
1485Just building it is a miracle.只是建造它是一个奇迹。
1486You know?你知道吗?
1487So if somebody wants to do an evaluation,所以如果有人想做个评估
1488I'm happy to support it,我很乐意支持它,
1489but you're gonna need to give me a giant data center但你得给我一个巨大的数据中心
1490and we're gonna need a couple of years to retrofit it.我们需要几年的时间来改造它
1491And you know?你知道吗?
1492And so you can't even benchmark these things anymore.所以,你甚至不能 基准这些东西了。
1493Interesting.有意思,这很有趣
1494And so it's exactly what happened with TSMC.这正是TSMC发生的情况。
1495The reason why we give 100% of our business to TSMC我们把业务的百分之百都交给了TSMC的原因
1496is because they're the only company in the world因为他们是世界上唯一的公司
1497that I can plan five years out.我可以计划五年
1498Right.对
1499And sight unseen,视而不见,
1500know that that transistor is gonna be really good知道那个晶体管会很棒的
1501because it's better than that one, better than that one.因为它比那个好 比那个好
1502Yeah.对
1503And that they will have capacity for me他们将拥有我的能力
1504and that they know how to work with my business team,他们知道如何与我的团队合作,
1505that they have the agility to handle all of my ups and downs他们有敏捷的处理 我的所有升降
1506and you know, for example,你知道,比如说,
1507to deal with the fact that I went from gray to blue to green.面对我从灰色变成绿色的事实
1508Yeah, exactly.没错
1509Okay?好吗?
1510They have to be big enough to help me go他们必须足够大 帮助我走
1511from gray to blue to green.从灰色到蓝色到绿色。
1512Exactly.没错
1513There's no other company in the world世上没有别的公司了
1514that can help me do that.那能帮助我做到这一点。
1515That's right.没错
1516And to have all these different process technologies拥有所有这些不同的工艺技术
1517from silicon photonics to logic to memory to push, pull,从硅光子到逻辑 到记忆 推拉拉拉
1518push, pull, packaging.推,拉,包装。
1519I mean, the number of things that we do is so dynamic.我的意思是,我们做的很多事情都充满活力。
1520And so how do you possibly do that with a company所以,你怎么能做到这一点与公司
1521that is one-tenth their size?那是他们十分之一的尺寸?
1522It's impossible.这是不可能的。
1523And so I think the big idea is this,所以我认为大主意是,
1524because we're building infrastructure for the planet因为我们在为地球建造基础设施
1525and Nvidia has become an infrastructure company.而Nvidia已经成为一家基础设施公司。
1526And because these infrastructures cost so much money因为这些基础设施要花很多钱
1527and they're moving and technology is moving so fast,他们正在移动 技术在如此快速地移动
1528we're practically, you know, the combination of the trust,我们实际上,你知道, 信任的组合,
1529the fact that we run everything.事实,我们运行的一切。
1530You know, so it started out with some GPT models,你知道,所以它开始 一些GPT模型,
1531but look at the flash attention mechanisms但看看闪光的注意机制
1532that were invented.这是被发明的。
1533The way that we parallelized the models我们模拟模型的方式
1534and sharded across MVLink 72 and how all of that changed.在MVLink 72的全程都变了
1535MOE变了。
1536And now people are talking about transformer diffusion现在人们在谈论变压器的传播
1537models that are hybrid, SSMs that are transformers hybrids,混合型,变压器混合型,
1538and all these different technologies are all right.所有这些不同的技术都是好的。
1539The evolution of all that, we know that it all runs on CUDA.所有这一切的演化,我们知道,它都运行在CUDA上。
1540It is the only, we don't know whether you这是唯一的,我们不知道你
1541need to do more pre-training, post-training,需要做更多的培训前,培训后,
1542or just agentic inference.或者只是代理推论
1543Well, it turns out we run it all anyways.事实证明我们都是运行的
1544And so you could build a $50 billion data center这样你就可以建造一个500亿美元的数据中心
1545and know that the fungibility of the work,并且知道作品的可互换性,
1546and if something were to happen, you know,如果有事发生,你知道,
1547for whatever reason unknown, you want it to, if you will,不知什么原因,你希望它,如果你愿意,
1548sublease half of your capacity to somebody,转租一半你的能力给某人,
1549Nvidia is completely fungible.Nvidia是完全可替换的。
1550So we're fungible in workload, we're fungible in models,所以我们在工作量上可以互换,在模型上可以互换,
1551we're fungible across customers,我们是互换的客户,
1552and we're deployable everywhere in the world.我们被部署在世界各地
1553You start a company in Europe,你在欧洲开家公司
1554you start a company in United States,你在美国创办一家公司
1555but guess what?你猜怎么着?
1556You would like your customer,你会喜欢你的顾客的
1557you want to serve customers in Europe,你想在欧洲为客户服务,
1558you want to serve customers in Japan.你想在日本为顾客服务
1559Well, it turns out we're already there.原来我们已经到了
1560Nvidia's infrastructure is already there.Nvidia的基础设施已经在那里。
1561OpenAI想去欧洲
1562we'll take them there in a heartbeat.我们马上带他们去
1563If they want to go to India, in a heartbeat.如果他们想去印度, 心跳。
1564Isn't that right?是吗?
1565If Anthropic wants to go to Japan, Korea, in a heartbeat.如果Anthropic想在心跳中前往日本,韩国.
1566We're already there.我们已经到了
1567All of these architectures are already there.所有这些建筑都已经存在.
1568And so I think if you take Nvidia in whole所以我想如果你把恩维迪亚整条
1569and then you come back and you say,然后你回来说,
1570okay, I want to do the thought experiment,好吧,我想做思想实验,
1571I want to place $100 billion on somebody,我想给某个人上一千亿美元
1572how do you do it?怎么样?
1573A year ago, we were sitting here,一年前 我们坐在这里
1574and the consensus forecast was that you were going to be协商一致的预测是 你会是
1575flat or shrink in 2027.2027年平或缩.
1576Now the consensus forecast, you're going to grow 74%.现在共识预测,你将增长74%。
1577So I just want to let people let that sit in所以,我只是想让人们 让它坐进来
1578because a lot of people follow these consensus forecasts因为很多人都遵循这些共识预测
1579and it was really wrong.这真的是错误的。
1580They were forecasting.他们在预测
1581Did they go back and listen to your podcast from last time?他们回去听上次播客的节目了吗?
1582You told them.你告诉他们了。
1583I explained everything.我解释了一切
1584Listen, ladies and gentlemen, I did explain everything.听着,女士们先生们,我解释过了
1585And so I look out at 2029.所以我看着2029。
1586There was, wasn't it an ROI question?有,是不是一个ROI问题?
1587Yes.对
1588And then there was this custom versus general purpose.后来出现了这种习惯与一般目的.
1589The reason why Nvidia's general purpose恩维迪亚总目的原因
1590is so I can have all this fungibility.这样我才能拥有这些可替换性
1591That's right.没错
1592The benefit of fungibility is low risk.可替换性的好处是风险低。
1593Right.对
1594And low risk really comes in to play而低风险真的来玩
1595when you're placing big dollars.当你放大钱的时候
1596When you're building out 50,当你建造50,
1597a hundred billion dollars worth of infrastructure,价值1000亿美元的基础设施,
1598you need to know that that infrastructure你需要知道,基础设施
1599is going to be really good for a long time,这将是真正的好 在很长一段时间,
1600no matter what.不管怎样
1601So specialization is the enemy of fungibility.因此专业化是可互换性的敌人.
1602Specialization is the enemy of durability.专门化是耐久性的敌人.
1603And so, so long as I can prove所以,只要我能证明
1604that our performance is extraordinary,我们的表现是非凡的,
1605and we prove that every single day,我们证明,每一天,
1606the moment we can prove that,只要我们能证明这一点
1607then fungibility and durability translates to rentability,可互换性和耐久性就变成可出租性,
1608which translates to productivity.也就是生产力。
1609And financeability.还有资金保障
1610And therefore, financeability,因此,融资能力,
1611which leads to the lowest TCO.这导致了最低的TCO。
1612Right, right, exactly.没错,没错
1613Well, now you're buying back the largest amount in history.好吧,现在你买回 历史上最大的数额。
1614And on my math, you could probably buy upwards根据我的计算,你也许可以买到
1615of 10% of the company back within the next two years.在接下来的两年里 10%的公司。
1616At Goldman, you called Nvidia在高德曼,你打电话给恩维迪亚
1617the first growth value company.第一增长价值公司。
1618Sounds a lot like Apple's pitch to Warren Buffett.听起来很像苹果给沃伦·巴菲特的投手
1619Okay, is that right?好吧,是吗?
1620Yeah, or more, yeah.是的,或者更多,是的。
1621That they could return the capital.他们可以归还首都
1622It worked.已经成功了
1623Yeah, for sure.是的,当然。
1624It worked.已经成功了
1625Went from 300, at the time, $30 to 300.从当时的300美元到30美元
1626Yeah.对
1627300 plus.三百加时.
1628And in a lot of ways,在许多方面,
1629we're going through a similar transition.我们正在经历一个类似的转变。
1630For example, the thing I forgot to mention is,例如,我忘了提的是,
1631and Brad, I think you were about to ask me about that.布拉德 我想你正要问我这件事
1632You know, most of our investment我们大部分的投资
1633and financing partnership strategies伙伴关系战略
1634is trying to set up two business models.试图建立两个商业模式。
1635Two new business models.两个新的商业模式。
1636One business model we've been working on for some time一个我们研究了一段时间的商业模式
1637and will be accelerated in the near future并在不久的将来加速
1638is software licensing.是软件许可。
1639You know, the body of software that we have我们拥有的软件体
1640in our company is just extraordinary.在我们公司里是非凡的。
1641And that data center is so large,数据中心这么大
1642imagine all the software that runs in it.想象一下里面的所有软件
1643And we provide the entire stack.我们提供整个堆栈。
1644And our entire stack is completely industrial strength.而我们的整个堆积 完全是工业实力。
1645For the CSPs, they want to run their own stack.对于CSP来说,他们想自己运行堆栈.
1646And so we license or we give them our software open source,因此,我们许可 或我们给他们我们的软件开源,
1647and then they take it and they modify it然后他们拿走它 修改它
1648and they integrate into theirs,他们将归于他们,
1649and then they operate their services.然后他们经营他们的服务。
1650But for a lot of the world's companies,但对于世界上很多公司来说,
1651they don't have the IT department,他们没有信息技术部门,
1652they don't have the software department do it,他们没有软件部门做,
1653so they need me to maintain it.所以他们需要我维持它。
1654And so because AI, in the last several years,所以,因为AI, 在过去的几年里,
1655largely focused on training,基本上侧重于培训,
1656but now they're moving into deployment,但现在他们开始部署
1657they need to operate these as factories.他们需要将这些作为工厂运营。
1658And they need to know that I'm on the hook,他们需要知道我在钩上,
1659I'm on the SLA to support it and maintain it,我加入了解放军 支持并维持它,
1660keep it secure, keep it safe for as long as we shall live.保持它的安全, 保持它的安全,只要我们活着。
1661And so software license for our enterprise business因此,软件许可证 我们的企业业务
1662will be very, very large.将是非常,非常大。
1663And so, you know, if our software license is,所以,你知道,如果我们的软件许可证是,
1664you know, just roughly say for simple math,你知道,只是粗略地说 简单的数学,
1665a couple of thousand dollars per GPU per year,每年每个GPU几千美元,
1666and we have millions of GPUs,我们有数百万GPU,
1667we ship, you know, 20 million GPUs, say, a year.我们每年运送两千万GPU
1668I'm growing, and so half of it goes into world's enterprise,我长大了,所以一半 进入世界企业,
1669it adds up, okay?说来话长
1670And so I'm fairly certain this is going to be所以我很确定这是
1671a very big part of our business software license.是我们商业软件许可证的一大部分
1672And then, of course, there are some clouds当然,还有一些云
1673我们全靠NVIDIA了
1674They rely on us for our offtake, our ecosystem.他们依靠我们来承担责任 我们的生态系统
1675They also rely on us for maybe as an investment partner他们也依赖我们作为投资伙伴
1676in helping them secure their financing and capital.帮助他们获得资金和资本。
1677They've secured a land power shell,他们已经锁定了一个土地动力壳,
1678they're a regional champion,他们是地区冠军,
1679they've got all kinds of stuff working in their advantage,他们有各种东西 在他们的优势,
1680but these three areas they need our support on.但是这三个领域需要我们的支持。
1681And so in those kind of relationships,所以在那种关系中
1682我们很可能会搬到RefShare
1683And so we'll make an investment,所以我们要投资
1684we'll get the benefit of the sale up front,我们会得到好处 销售在前面,
1685but we'll also have the benefit of RefShare going forward.但我们也会从RefShare的前进中获益
1686And so, you know, we're not a cloud service provider,所以,你知道,我们不是一个云服务供应商,
1687but we're going to be providing offtake但我们会提供任务
1688and providing software support for them并提供软件支持
1689for, you know, four, five, 10 years.因为,你知道,四,五,十年。
1690And so we ought to get some economic return on that.所以我们应该得到一些经济回报。
1691所以RefShare会支持你
1692What's like app store sale?什么是像应用商店销售?
1693Like app store sale.比如应用商店的销售.
1694I just described two new growth vectors我刚刚描述了两个新的生长载体
1695independent of the hardware sale of our company,独立于我们公司的硬件销售
1696and it's much more related to the install base和安装基础有关
1697of our platform.我们的平台。
1698What's the benefit of software licensing软件许可有什么好处?
1699if you have no install base?如果你没有安装基础?
1700And how could you have RefShare if there's no offtake?如果没有责任,你怎么能有RefShare?
1701Okay, and so the install base element,好吧,那么安装基础元素,
1702the richness of our software stack,我们软件库的丰富性,
1703the offtake, the richness of our offtake我们的财富
1704and the ecosystem that we have around the world,以及我们在世界各地的生态系统,
1705that's going to fuel that.那会激化它。
1706One of the ways, you know,其中一个方法,你知道,
1707so we're talking about this training at 13 times,我们13次讨论这个训练
1708you know, when Tim and Luca went to see Warren Buffett,你知道,当蒂姆和卢卡去见沃伦巴菲特时,
1709and one of the reasons that Buffett has said以及巴菲特说的原因之一
1710he doesn't like technology companies他不喜欢科技公司
1711is they have this hit,他们有这个命中,
1712they produce an enormous amount of free cashflow,他们产生大量的 自由现金流,
1713and rather than ever giving any of it而不是永远给它的任何
1714back to the shareholders,回到股东,
1715they go and spend it on something else.他们去花在别的东西上。
1716And oftentimes the something else isn't as good经常有别的东西不是那么好
1717as the thing that caused them因为它的产生
1718to generate the cashflow in the first place.首先生成现金流。
1719You guys are now spending over 50% of your free cashflow你们现在要花50%以上的现金
1720buying back your stock,买回你的股票,
1721effectively returning it, you know, to shareholders有效地还给股东
1722while you have this exponential growth at the same time.当你同时有这个指数增长。
1723As we've already discussed-我们已经讨论过了...
1724We said 50.我们说50。
1725Right.对
1726I think this last quarter we did 60 some on.我想这最后一个季度 我们做了60一些。
1727Correct.没错
1728Yeah, we're going to increase,是啊,我们要增加,
1729you know, we invest in really high quality companies你知道,我们投资 真正高质量的公司
1730as you guys know.如你们所知。
1731And, you know, the last couple of years,而且,你知道, 在过去的几年里,
1732NVIDIA从谁那里买的,
1733whoever Jensen's buys from,詹森从谁那里买的
1734you got to invest in that company.你得在那个公司投资
1735That's right.没错
1736And now the new word on the street现在街上的新词
1737is whoever Jensen invests in,谁是詹森投资,
1738you got to invest in that company.你得在那个公司投资
1739And it's true.亦复如是.
1740And the reason for that is because, you know, like you,原因是,你知道,像你一样,
1741we're in the ecosystem,我们在生态系统,
1742we're in the flow of information,我们在信息流通中
1743we know who's doing-我们知道是谁做的...
1744We do a lot of those investments together.我们一起做很多投资。
1745Yeah, and we know a lot of smart people,是的,我们认识很多聪明人
1746and we want to back these people我们想支持这些人
1747when they want to do something great.当他们想做一些伟大的事情。
1748And so we're kind of on the inside,所以,我们有点内在,
1749we have a lot of information,我们有很多信息
1750and so our investments are, you know, well-informed.所以,我们的投资,你知道, 完全知情。
1751Right, right.对,对。
1752And not to mention, NVIDIA is also in the ecosystem,更别提NVIDIA也在生态系统里
1753and so we can help them succeed.这样我们就能帮助他们成功。
1754That's right.没错
1755And so there's a lot of different reasons所以有很多不同的原因
1756why the investments turn out great.投资结果如何?
1757But as a percentage of our total cash generation,但作为我们总现金产生的百分比,
1758it's going to decline very rapidly.它会迅速下降。
1759部分原因是OpenAI和Anthropic
1760isn't going to come around again,不会再来了
1761that opportunity's not going to come around again, frankly.老实说,那机会不会再出现
1762And then secondarily, our cashflow generation其次 我们的现金流量
1763is growing quite fast.增长很快。
1764Right.对
1765And to that point, it seems to me至此,我觉得
1766that if you're buying back that much,如果你买回这么多,
1767and the durability of the revenues,和收入的持久性,
1768I think, as you've described here today,我想,正如你今天在这里所描述的,
1769is longer than people expect.时间比人们预期的要长
1770And I think that's the one place我想这就是一个地方
1771people are still hanging too much on,人们仍然挂太多,
1772this is only going to last as long,这只会持续多久,
1773Ezra asked you this on the pod the other day,Ezra那天在舱里问你这个
1774how long until the bubble bursts?多久后泡泡暴发?
1775And I think you said something about two to three years我想你说过两三年了
1776you have good visibility that the demand is there你有一个很好的可见度 需求在那里
1777and who knows kind of after that.之后谁知道呢?
1778And I heard some people saying,我听到一些人说,
1779oh, it may only be two years before this burst.可能只有两年时间了
1780But when I look at this,但当我看到这个,
1781this is fundamentally a re-architecture这基本上是重构建筑
1782of all global compute forever, forever.永远的计算
1783So unless there's a global depression, right?除非全球出现抑郁症,对吗?
1784Then every single year, people are going to have to consume以后每年都有人要消费
1785大量的NVIDIA计算。
1786Yeah, and so the way to think about that对,所以想这个的方法
1787is we were running in the,我们跑在,
1788the CSPs were running about half a trillion,CSP正在运行约半兆,
1789the whole industry, the whole world is running,整个行业,整个世界都在运行,
1790call it a trillion dollars of IT build out each year, okay?把它叫做每年一万亿美元 IT建设出来,好吗?
1791And every year more gets built,每年都会建造更多
1792and every five years or so,每五年左右,
1793some gets depreciated or turned off and taken offline有些会贬值或关机然后下线
1794and so on and so forth, and some of it lasts longer.诸如此类,有些会持续更长。
1795And so that old world was in the retrieval way所以那个老世界在回收过程中
1796of doing computation and the new way of doing computation,以新的方法计算。
1797you know, I've predicted that going out of the decades,你知道,我已经预言过 走出几十年,
1798so three, four, let's say four, let's say five,因此,三,四,让我们说四,让我们说五,
1799and my sense is that we're going to continue我的感觉是,我们将继续
1800to grow from there.从那里成长。
1801If you told me that the annual capacity building,如果你告诉我,年度能力建设,
1802infrastructure building, refreshing combination基础设施建设,更新组合
1803of new and old, refreshes, runs around $10 trillion,新旧的,新鲜的, 运行在10万亿美元左右,
1804I'm not even a little bit surprised.我一点也不惊讶
1805Right, right.对,对。
1806Just again, for people listening,再说一遍,人们在听
1807you know, you think $4 trillion of annual spend你知道,你认为4万亿美元的年度开支
1808by the end of the decade,在十年结束时,
1809because every time you consume tokens,因为每次你食用代币时
1810every time you use intelligence,每次你用情报
1811you have to run the machine, the factory has to run.你必须运行机器,工厂必须运行。
1812And I think you've described that, that's about 50%,我想你已经描述过了 大约50%
1813you know, if you assume that, you know,你知道,如果你假设, 你知道,
1814$50 trillion of global GDP is, you know,全球GDP的50万亿美元是,你知道,
1815is related to knowledge work.与知识工作有关。
1816If we get a 20% productivity gain over five years on that,如果我们在五年内得到20%的生产力增益,
1817like you've seen inside Nvidia,就像你在恩维迪亚看到的那样
1818you've seen much bigger productivity gains inside Nvidia,在恩维迪亚,你看到了更大的生产力增长,
1819but if you see that sort of productivity gain,但是如果你看到这种生产力的提高
1820then if we get $10 trillion of incremental economic activity,如果有10万亿的增量经济活动
1821right, by 2029, 2030, like that seems very reasonable,对,到2029年,2030年, 似乎非常合理,
1822and you're just saying we'll spend half of that on CapEx,你只是说我们会把一半的钱花在CapEx上
1823on the intelligence, you know, to produce it.情报,你知道的,生产它。
1824And so maybe, you know, that's a good place for us所以,也许,你知道, 这是一个好地方给我们
1825to take a bit of an off-ramp.以取出一点外侧。
1826You've been incredibly generous.你真是太慷慨了
1827I could go on forever,我可以永远继续
1828but I kind of want to wrap where we started, right?但我想把开始的地方包起来 对吧?
1829When we look back.回首时.
1830If this was one of those eating, drinking podcasts.如果这是其中之一 吃,喝播客。
1831We could keep going, we could keep going.我们可以继续走, 我们可以继续走。
1832It wasn't so long ago that the human condition不久前,人类的状况
1833was described as nasty, brutish, and short, right?被描述为肮脏,粗鲁, 和短,对不对?
1834Was that last week or?那是上周还是?
1835Innovation has really driven all human progress,创新真正推动了人类的进步
1836mostly in the last 200 years.大部分是在过去200年里。
1837More time with family, longer lives,更多的时间与家庭, 更长的生命,
1838less time doing drudgery做工的时间减少
1839that humans really didn't want to do, safer.人类真的不想做,更安全。
1840We're the first generation我们是第一代
1841where 63-years-olds consider young.在那里63岁的孩子认为年轻。
1842Exactly, exactly.没错,没错。
1843Exactly.没错
1844People call me young man.人们叫我年轻人
1845Safer, better lives.更安全,更好的生活。
1846All of this, despite all of these concerns所有这一切,尽管所有这些关切
1847that you and I hear out there.你和我听到那边。
1848And by the way, those same concerns were expressed顺便说一句,也表达了同样的关切
1849at the beginning of the industrial revolution, right?在工业革命的开始,对不对?
1850What's your level of confidence你的信任程度是多少
1851that in five years from now,五年后,我们开始
1852we will have made the right decisions我们将做出正确的决定
1853and the world will be that much better place, right?这个世界将会是更好的地方,对吧?
1854That we describe because of the investment我们描述的是投资
1855and all that we're doing.我们所做的一切
1856Are you more confident as we sit here today我们今天坐在这里,你更有信心吗?
1857than you were 12 months ago?比你12个月前还好?
1858I'm 99.99% just in service,我99.99%是在服务,
1859in honor of a good friend, not using zero and 100.以纪念一个好朋友, 不使用0和100。
1860I'm 99.99%, 99% confident我99.99%,99%有信心
1861that too many of us care due deeply太多人关心我们
1862that the outcome turns out well.结果是好的。
1863That we will dedicate our might, our intellect,我们将奉献我们的力量,我们的智慧,
1864our resources to ensure we get there responsibly我们的资源确保我们负责任地到达那里
1865and optimistically.乐观地说
1866And so there's just so many people doing the right things.所以有这么多人做正确的事情。
1867Now, oftentimes, there are people现在,经常有人
1868who pontificate about these things他们为这些事而造谣,
1869and they're informed by several things他们从几件事情得知
1870and they don't realize that there are a lot of people,他们不知道有很多人
1871industries, incredible researchers and engineers工业、不可思议的研究人员和工程师
1872outside their sphere of information在其信息范围以外
1873that are doing amazing things all by themselves,做惊人的事情 他们自己,
1874independent of them, just because they didn't say,独立于他们, 只是因为他们没有说,
1875they didn't say it doesn't mean a lot of smart people他们没说这不代表很多聪明人
1876are doing smart things.正在做聪明的事。
1877And I say this all the time inside the company,我经常在公司里说
1878even without my leadership, without strategies,即使没有我的领导,没有策略,
1879the company is doing smart things all by itself.公司正在做一些聪明的事
1880Smart people do smart things.聪明人做聪明的事
1881They do more impactful things when you organize a line,当你组织一条线时,它们会做更多的影响
1882but amazing people are doing smart things但令人惊奇的人 正在做聪明的事情
1883all by themselves.独自一人
1884And so when somebody tells me that you're worrying about us,所以当有人告诉我你在担心我们
1885it's good that we worry.我们担心是件好事
1886And we should express our worries.我们应该表达我们的担忧。
1887We should express our concerns,我们应该表达我们的关切,
1888but we shouldn't predict the end of the world.但我们不应该预测世界末日
1889Because they're underestimating the human condition.因为他们低估了人类的状况.
1890They're underestimating the human capacity.他们低估了人的能力.
1891And they think for some reason with,他们认为,出于某种原因,
1892maybe it's just hubris, maybe it's arrogance,也许只是自大 也许是傲慢
1893that unless they do it, it won't get done.除非他们这样做,否则是办不到的。
1894Unless they do it, it won't get done.除非他们这样做,它不会完成。
1895The fact of the matter is this company事实是这家公司
1896is doing amazing things, whether I say it or not.无论我说不说 都在做令人惊奇的事
1897Right.对
1898Okay, and I get all the accolades and the blame,好吧,我得到所有的优雅 和责备,
1899but in both cases, in both cases, I'm fair,但是在这两种情况下 我都很公平
1900especially the accolades.特别是优等生
1901And so I, and the reason for that is just these,所以我 原因就是这些
1902when you surround yourself with amazing people当你用神奇的人包围自己
1903and you create the conditions然后创造条件
1904by which everybody wants the same outcome,每个人都想得到同样的结果,
1905the good outcome, the good version of it.好结果,好的版本。
1906And I think most people do.我认为大多数人都这样
1907That's the reason why I say we need to,这就是为什么我说我们需要,
1908we need to hold ourselves accountable and responsible,我们需要对自己负责和负责,
1909but we should express a future that's optimistic.但我们应该表达一个乐观的未来
1910For sure.当然
1911And I am 99.99% certain that surrounded我99.99%的确定率
1912by all the amazing people in the world,以全世界所有令人惊奇的人发誓,
1913we're gonna get there together.我们要一起去
1914是的,同意了。 \fn微软雅黑Yeah, agreed.
1915And it's, I think you're a national treasure.我认为你是国家宝藏
1916We're lucky to have you helping我们很幸运你能帮忙
1917to lead the charge.领导控罪。
1918The nation's indebted to you for getting everybody together,国家多亏你让大家聚在一起
1919getting us all on the same page, building the framework.让我们大家同归于尽,构建框架。
1920There's gonna be more work to do.还会有更多的工作要做。
1921But as a father of two, and I know you have kids,但作为两个孩子的父亲 我知道你有孩子
1922you're gonna have grandkids,你会有孙子,
1923and we don't care about anything more.而且我们不在乎什么了。
1924That's right.没错
1925Than actually building a better world for them, right?比真正为他们建立一个更好的世界,对不对?
1926We could easily stop.我们可以轻易停止。
1927But if we stop today, we lose, right?但如果我们今天停下来,我们输了,对不对?
1928We lose the opportunity at that better world.我们失去了在这个更美好世界的机会。
1929So we'll wrap it there.我们把它包起来
1930Thank you, Jensen.谢谢你,詹森。
1931Thank you, guys.谢谢你们
1932And Brad, thank you for,布拉德 谢谢你
1933I've never met a greater patriot.我从没见过一个更伟大的爱国者
1934Appreciate that.谢谢
1935Somebody who cares so much about the industry,某个很关心这个行业的人
1936but even more so the country.但国家更是这样
1937And your gift, your gift in your enthusiasm你的天赋 你的热情
1938and just tireless energy in coordinating,并且只是不懈的精力 在协调,
1939pulling together a lot of people召集很多人
1940in order to do something great like what you did.为了做一件和你一样伟大的事
1941Incredible.不可思议
1942I like that.我喜欢
1943As a reminder to everybody,为了提醒大家
1944just our opinions, not investment advice.只是我们的意见 不是投资建议
1945I like that.我喜欢
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