Name: 黃仁勳在加州理工學院的演講【獨家中英文字幕完整版】6/14 黃仁勳加州理工學院演講 (Jensen Huang’s Speech At Caltech【獨家中英文字幕完整版】6/14黃仁勳加州理工演講)
Uploaded: 2024-06-21T02:55:14.000Z
Duration: 31 min 48 s

程度副詞

It really makes me cringe listening to all that.

反身代名詞

Thank you for that kind introduction, but I hate hearing about myself.

謝謝你的好意介紹，但我討厭聽人介紹自己。

And just as a show, well, maybe if you could just applaud.

就像表演一樣，也許你可以鼓鼓掌。

Okay, good, I don't have to change my speech.

好的，很好，我不用改變我的演講了。

Ladies and gentlemen, President Rosenbaum, esteemed faculty members, distinguished guests, proud parents, and above all, the 2024 graduating class of Caltech.

女士們，先生們，羅森鮑姆校長，尊敬的教職員工，尊貴的來賓，自豪的家長們，最重要的是，加州理工學院 2024 屆畢業班的同學們。

對你們來說，今天真是個高興的日子。

你知道你就要從加州理工學院畢業了。

This is the school of the great Richard Feynman, Linus Pauling, and someone who is very influential to me and our industry, Carver Mead.

這是偉大的理查德-費曼（Richard Feynman）、萊納斯-鮑林（Linus Pauling）以及對我和我們行業影響深遠的卡佛-米德（Carver Mead）的學校。

今天是一個無比自豪和喜悅的日子。

It is a dream come true for all of you, but not just for you, because your parents and families have made countless sacrifices to see you reach this milestone.

這對你們所有人來說都是夢想成真，但不僅僅是你們，因為你們的父母和家人為見證你們達到這個里程碑做出了無數犧牲。

So let's take this moment and congratulate them, thank them, and let them know you love them.

是以，讓我們藉此機會祝賀他們，感謝他們，讓他們知道你們愛他們。

You don't want to forget that because you don't know how long you're going to be living at home.

你不想忘記這一點，因為你不知道自己還要在家裡住多久。

As a proud parent, I really loved it when my kids didn't move out, and it was great to see them every day, but now they've moved out and it makes me sad.

作為一名自豪的家長，我非常喜歡孩子們沒有搬出去的日子，每天都能看到他們真是太好了，但現在他們搬出去了，這讓我很難過。

So hopefully you guys get to spend some time with your parents.

Your journey here is a testament of your character, determination, willingness to make sacrifices for your dreams, and you should be proud.

你們在這裡的旅程證明了你們的品格、決心和為夢想做出犧牲的意願，你們應該感到自豪。

The ability to make sacrifices, endure pain and suffering, you will need these qualities in life.

做出犧牲、忍受痛苦和折磨的能力，這些都是你在生活中需要的品質。

First, both chief scientists of NVIDIA were from Caltech.

首先，英偉達公司的兩位首席科學家都來自加州理工學院。

And one of the reasons why I'm giving this speech today is because I'm recruiting.

我今天發表演講的原因之一是，我正在招募人員。

And so I want to tell you that NVIDIA is a really great company.

所以我想告訴大家，英偉達是一家非常偉大的公司。

I'm a very nice boss, universally loved, come work at NVIDIA.

我是個很好的老闆，人見人愛，來英偉達工作吧。

You and I share a passion for science and engineering, and although we're separated by about 40 years, we are both at the peaks of our career.

你和我都對科學和工程學充滿熱情，雖然我們相差約 40 歲，但都處於事業的巔峰期。

For all of you who have been paying attention to NVIDIA and myself, you know what I mean.

對於所有關注英偉達™（NVIDIA®）和我本人的人來說，你們都知道我的意思。

It's just that in your case, you'll have many, many more peaks to go.

只是就你的情況而言，你還有很多很多的山峰要爬。

And so I'm working as hard as ever to make sure that I have many more peaks ahead.

是以，我將一如既往地努力工作，以確保我的事業再攀高峰。

Last year, I was honored to give the commencement address at Taiwan University, and I shared several stories about NVIDIA's journey and the lessons that we learned that might be valuable for graduates.

去年，我有幸在臺灣大學畢業典禮上發表演講，分享了幾個關於英偉達發展歷程的故事，以及我們學到的可能對畢業生有價值的經驗。

I have to admit that I don't love giving advice, especially to other people's children.

我必須承認，我不喜歡給別人提建議，尤其是給別人的孩子。

And so my advice today will largely be disguised in some stories that I've enjoyed and some life experiences that I've enjoyed.

是以，我今天的建議在很大程度上將以我喜歡的一些故事和我喜歡的一些生活經歷來偽裝。

I'm the longest-running tech CEO in the world today, I believe.

我相信，我是當今世界上經營時間最長的科技公司首席執行官。

Over the course of 31 years, I managed not to go out of business, not get bored, and not get fired.

在 31 年的時間裡，我沒有倒閉，沒有感到厭倦，也沒有被解僱。

And so I have the great privilege of enjoying a lot of life's experiences, starting from creating NVIDIA from nothing to what it is today.

從創建 NVIDIA 開始，從一無所有到今天的成就，我有幸享受了人生的許多經歷。

And so I spoke about the long road of creating CUDA, a programming model.

是以，我談到了創建 CUDA（一種編程模型）的漫長道路。

The programming model that we dedicated over 20 years to invent, and that is revolutionizing computing today.

我們花了 20 多年時間發明的編程模型，正在徹底改變當今的計算方式。

I spoke about a very quite public canceled Sega game console project we worked on.

我談到了我們參與的一個非常公開的世嘉遊戲機取消項目。

And where intellectual honesty, something that I know Richard Feynman cares very deeply about and spoke quite often about, where intellectual honesty and humility saved our company.

我知道理查德-費曼（Richard Feynman）非常重視知識上的誠實，並經常談到這一點，知識上的誠實和謙遜拯救了我們的公司。

And how a retreat, a strategic retreat, was one of our best strategies.

務虛會，戰略務虛會，是我們最好的戰略之一。

All of these are counterintuitive lessons that I spoke about at the commencement.

所有這些都是我在開學典禮上談到的反直覺的教訓。

But I encouraged the graduates to engage with AI, the most consequential technology of our time.

但我鼓勵畢業生們接觸人工智能這一當代最具影響力的技術。

And I'll speak a little bit more about that later, but all of you know about AI.

我稍後會詳細談談這個問題，但你們都知道人工智能。

It's hard not to be immersed in it and surrounded by it, and a great deal of discussion about it.

你很難不沉浸其中，不被它包圍，不對它進行大量討論。

And of course, I hope that all of you are using it and playing with it, with surprising results and some magical, some disappointing, and some surprising.

當然，我也希望你們所有人都在使用它、玩弄它，並取得令人驚喜的結果，有些神奇，有些令人失望，有些令人驚訝。

But you have to enjoy it, you have to engage it, because it's advancing so quickly.

但你必須享受它，你必須參與它，因為它發展得太快了。

It is the only technology that I've known that is advancing on multiple exponentials at the same time.

這是我所知道的唯一一種同時以多種指數形式發展的技術。

And so the technology is changing very, very quickly.

So I advised the students at the Taiwan University to run, don't walk, and engage the AI revolution.

是以，我建議臺灣大學的學生們不要走，要跑，投入到人工智能革命中去。

And yet, one year later, it's incredible how much has changed.

然而，一年之後，變化之大令人難以置信。

And so today, what I wanted to do is share with you my perspective, from my vantage point, of some of the important things that are happening that you're graduating into.

所以今天，我想從我的角度，與你們分享我對你們即將畢業的一些重要事情的看法。

And these are extraordinary things that are happening that you should have an intuitive understanding for, because it's going to matter to you, it's going to matter to the industry.

這些正在發生的非同尋常的事情，你應該有一個直觀的認識，因為這對你和整個行業都很重要。

And hopefully, you take advantage of the opportunity ahead of you.

The computer industry is transforming from its foundations, literally from studs.

計算機行業正在從根基開始轉型，簡直就是從螺柱開始。

And across every layer and soon, every industry will also be transformed.

And the reason for that is quite obvious, because computers today are the single most important instrument of knowledge.

原因顯而易見，因為計算機是當今最重要的知識工具。

And it's foundational to every single industry and every field of science.

它是每個行業和每個科學領域的基礎。

If we are transforming the computer so profoundly, it will, of course, have implications in every industry.

如果我們正在對計算機進行如此深刻的改造，當然會對各個行業產生影響。

And I'll talk about that in just a little bit.

And as you enter industry, it's important you know what's happening.

當你進入這個行業時，瞭解正在發生的事情非常重要。

Modern computing traces back to the IBM System 360.

現代計算可以追溯到 IBM System 360。

That was the architecture manual that I learned from.

It's an architecture manual that you don't need to learn from.

這是一本不需要學習的建築手冊。

A lot better documentation and better descriptions of computers and architecture has been presented since.

從那時起，關於計算機和建築的文檔和描述就更加完善了。

But the System 360 was incredibly important at its time.

但在當時，360 系統的重要性令人難以置信。

And in fact, the basic ideas of the System 360, the architecture of it, the principal ideas and architecture and strategy of the System 360 are still governing the computer industry today.

事實上，System 360 的基本思想、架構、主要思想、架構和戰略至今仍在支配著計算機行業。

And it was introduced a year after my birth.

而它是在我出生一年後推出的。

In the 80s, I was among the first generation of VLSI engineers who learned to design chips from Mead and Conway's landmark textbook.

上世紀 80 年代，我是第一代 VLSI 工程師，他們從 Mead 和 Conway 的里程碑式教科書中學會了芯片設計。

And I'm not sure if it's still being taught here.

我不確定這裡是否還在教這門課。

It should be in the introduction of VLSI systems.

這應該是在介紹超大規模集成電路系統。

Based on Carver Mead's pioneering work here at Caltech on chip design methodologies and textbook that revolutionized IC design.

該書基於 Carver Mead 在加州理工學院的開創性工作，研究芯片設計方法，並編寫了一本徹底改變集成電路設計的教科書。

And it enabled our generation to design super giant chips and ultimately the CPU.

它使我們這一代人能夠設計出超大型芯片，並最終設計出中央處理器。

The CPU led to exponential growth in computing.

中央處理器使計算能力呈指數級增長。

The performance, the incredible technology advances, that's called Moore's Law, fueled the information technology revolution.

性能、令人難以置信的技術進步，即所謂的摩爾定律，推動了信息技術革命。

The industrial revolution that we are part of, that my generation was part of, saw the mass production of something the world had never seen before.

我們這一代人所參與的工業革命，見證了世界上前所未有的大規模生產。

The mass production of something that was invisible, easy to copy, the mass production of software.

大規模生產看不見、很容易複製的東西，即大規模生產軟件。

這導致了一個 3 萬億美元的產業。

When I sat where you sat, the IT industry was minuscule.

當我坐在你的位置上時，IT 行業還微不足道。

And the concept that you could make money selling software was a fantasy.

賣軟件就能賺錢的想法簡直是天方夜譚。

And yet today, it's one of the most important commodities, most important technologies and product creations that our industry produces.

然而今天，它已成為我們行業最重要的商品、最重要的技術和產品創造之一。

However, the limits of Dennard scaling, of transistor scaling, and instruction level parallelism have slowed CPU performance.

然而，由於 Dennard 擴展、半導體擴展和指令級並行性的限制，CPU 性能有所下降。

And the slowed CPU performance gains is happening at a time when computing demand continues to grow exponentially.

CPU性能提升放緩的同時，計算需求卻在持續成倍增長。

This exponentially growing gap between demand of computing and the capabilities of computers, if not addressed, computing energy consumption and cost, inflation, would eventually stifle every industry.

計算需求與計算機能力之間的差距呈指數級增長，如果不加以解決，計算能耗和成本、通貨膨脹最終將扼殺每一個行業。

We see very clear signs of computing inflation as we speak.

在我們說話的時候，我們看到了非常明顯的計算通脹跡象。

And after two decades of advancing NVIDIA's CUDA, NVIDIA's accelerated computing offers a path forward.

二十年來，英偉達™（NVIDIA®）的CUDA不斷進步，英偉達™（NVIDIA®）的加速計算提供了一條前進之路。

Because finally the industry realized of the incredible effectiveness of accelerated computing at precisely the time that we're witnessing computing inflation after several decades.

因為在幾十年後的今天，當我們目睹計算膨脹時，業界終於意識到加速計算的驚人功效。

By offloading time-consuming algorithms to a GPU that specializes in parallel processing, we routinely achieve 10, 100, sometimes 1,000-fold speedups saving money, cost, and energy.

通過將耗時的算法卸載到專門從事並行處理的 GPU 上，我們通常能實現 10 倍、100 倍，有時甚至 1000 倍的速度提升，從而節省資金、成本和能源。

We now accelerate application domains from computer graphics, ray tracing, of course, to gene sequencing, scientific computing, astronomy, quantum circuit simulations, SQL data processing, and even pandas, data science.

現在，我們加速的應用領域從計算機圖形學、光線追蹤，當然還有基因測序、科學計算、天文學、量子電路仿真、SQL 數據處理，甚至熊貓、數據科學。

Accelerated computing has reached a tipping point.

That is our first great contribution to the computer industry, our first great contribution to society, accelerated computing.

這是我們對計算機行業的第一個偉大貢獻，也是我們對社會的第一個偉大貢獻--加速計算。

It now gives us a path forward for sustainable computing where cost will continue to decline as computing requirement continues to grow.

現在，它為我們提供了一條可持續計算的前進道路，隨著計算需求的不斷增長，成本將持續下降。

A hundred-fold, a hundred-fold of anything in time or cost or energy savings that accelerated computing opened surely would trigger a new development somewhere else.

加速計算所帶來的時間、成本或能源的百倍、百倍的節省，肯定會引發其他地方的新發展。

We just didn't know what it was until deep learning came to our consciousness.

我們只是不知道它是什麼，直到深度學習出現在我們的意識中。

Jeff Hinton, Alice Krzyzewski, and Ilya Suskever used NVIDIA CUDA GPUs to train AlexNet and shocked the computer vision community by winning the 2012 ImageNet Challenge.

Jeff Hinton、Alice Krzyzewski 和 Ilya Suskever 使用英偉達™（NVIDIA®）CUDA GPU 訓練 AlexNet，並贏得了 2012 年 ImageNet 挑戰賽，震驚了計算機視覺界。