# NVIDA 創辦人演講
# 演講影片
### video #1
https://youtu.be/B5cGzhjo10w
{%youtube B5cGzhjo10w %}
### video #2
非凡: https://www.youtube.com/watch?v=lYGzOC0Zsyk
{%youtube lYGzOC0Zsyk %}
## chatGPT 透過逐字稿，來做出中文及英文的分享
### >> chatGPT 中文分享
標題：堅毅、犧牲與追求夢想：從Nvidia的旅程中學到的經驗教訓
在一次發人深省的主題演講中，Nvidia的首席執行官分享了公司的成長軌跡，將危機轉化為跳板，並最終成為全球AI領導者。這次演講充分體現了韌性、策略性退讓，以及“快速行動”的重要性。讓我們解析一下塑造了Nvidia旅程的三個故事，並理解這些敘述的本質。
故事一：面對失敗的謙卑
第一個故事圍繞Nvidia初次為Sega打造遊戲機的努力。公司的前向紋理映射方法雖然價格適中，但在技術上證明不足。此外，Nvidia在面對業界轉向基於逆紋理映射和三角形的Microsoft Windows 95 direct 3D的過程中落後。這裡的關鍵教訓是願意承認失敗並尋求幫助。首席執行官勇於面對錯誤，聯繫Sega的首席執行官，承認他們的失誤，並尋求理解。他的謙卑和透明度讓Nvidia獲得資金，最終打造出革命性的Reva 128，將Nvidia推向全球3D市場。
重要觀點：謙卑和勇於面對失敗的勇氣在將危機轉化為機遇中至關重要。
故事二：堅韌的力量
Nvidia的下一個挑戰是引入Cuda，一種GPU加速運算，旨在增強各種應用。儘管面臨困難和股東的懷疑，Nvidia堅持下去，相信加速運算的時代會來到。當AI研究人員發現了Cuda，深度學習的飆升推動了Nvidia成為AI的引擎，他們的承諾得到了回報。
**重要觀點：為了實現願景，經常需要忍受痛
苦和困難，堅毅和耐力是關鍵。
故事三：策略性的退讓
最後一個故事則是 Nvidia 如何進入並最終退出行動電話市場的過程。儘管一開始大受歡迎，但面臨激烈競爭和策略上的問題，Nvidia 決定放棄這個市場，專注於他們真正擅長並有能力作出獨特貢獻的領域：解決傳統電腦無法解決的問題。這種退讓開啟了他們的思維，讓他們創造了一種全新的電腦類型 - 用於機器人的電腦，帶動了新的汽車和機器人行業。
重要觀點：策略性退讓和犧牲，有時候是成功的關鍵，並能引領我們找到真正的目標和價值。
以快速行動的方式迎接未來
Nvidia 首席執行官的講話結尾提到，無論你是在追求成功（獲得食物），還是在避免失敗（不成為食物），你都需要快速行動。這表示在這個快速變化的時代，為了生存和成功，我們都需要快速行動，迎接挑戰，抓住機會。他鼓勵新一代的創新者和領導者要有勇氣去追求自己的夢想，無論面對什麼挑戰和困難，都不要放棄，而是要堅定地繼續前進。
這些精彩的故事和深入的觀察揭示了Nvidia 成功的關鍵因素，並提供了一個指南，引導我們如何在這個充滿變化和不確定性的世界中找到自己的道路。無論我們身在哪個行業，或者正在追求什麼目標，我們都可以從 Nvidia 的經驗中獲得寶貴的啟示和鼓勵。
### >> chatGPT 英文分享
Title: Perseverance, Sacrifice, and the Pursuit of Dreams: Lessons from Nvidia’s Journey
In a stirring keynote speech, Nvidia's CEO shared a compelling narrative of the company’s trajectory, transforming crises into stepping stones and emerging as a global leader in AI. The speech was a testament to resilience, strategic retreat, and the importance of "running fast". Let's dissect the three stories that shaped Nvidia's journey and understand the essence of these narratives.
Story 1: Humility in the Face of Failure
The first story revolved around Nvidia’s initial endeavor to build a game console for Sega. The company's forward texture mapping approach, although affordable, proved technically inferior. Moreover, Nvidia was trailing behind the industry's pivot towards Microsoft's Windows 95 direct 3D, based on inverse texture mapping and triangles. The critical lesson here was the willingness to acknowledge failure and seek help. Confronting the mistake, the CEO courageously contacted Sega’s CEO, admitted their missteps, and asked for their understanding. His humility and transparency allowed Nvidia to secure funding and eventually build the revolutionary Reva 128, which catapulted Nvidia into the global 3D market.
Key takeaway: Humility and the courage to confront failures are critical in turning crises into opportunities.
Story 2: The Power of Perseverance
Nvidia's next challenge was the introduction of Cuda, a GPU-accelerated computing, aiming to boost various applications. Despite the hardship and skepticism from shareholders, Nvidia persevered, believing in the advent of accelerated computing. Their commitment paid off when AI researchers discovered Cuda, leading to a surge in deep learning and propelling Nvidia to be the engine of AI.
Key takeaway: Enduring pain and suffering is often necessary to realize a vision. The capacity to persevere through difficulties can usher in groundbreaking discoveries and success.
Story 3: Strategic Retreat and Sacrifice
The final story centered around Nvidia’s entrance into the mobile chip market, which was short-lived due to fierce competition. Instead of battling for market share, Nvidia made a strategic retreat, focusing on its mission of solving problems that ordinary computers couldn't. The company invented a new type of computer for robotic computers, which led to the creation of a billion-dollar automotive and robotics business.
Key takeaway: Strategic retreat and sacrifice can pave the way for unique contributions and open the door to new, promising markets.
Run, Don’t Walk
The CEO concluded the speech by urging the listeners to "run". This metaphor underlines the importance of striving ardently towards one's goals. In a world of rapid technological advancement, it's vital to keep moving swiftly - whether to seize opportunities (running for food) or to avoid becoming obsolete (running from becoming food). Regardless of the motivation, the essence is to maintain momentum and constantly push the boundaries.
The stories of Nvidia's journey remind us that humility to acknowledge failure, perseverance during hard times, and the wisdom to strategically retreat can turn challenges into opportunities. In a world marked by constant change, the mantra to "run" serves as a call to action to chase our dreams relentlessly.
# Youtube 逐字稿
0:09 [Music]
0:15 thank you
0:26 [Applause]
0:28 and she looks sure to continue
0:40 foreign
0:48 [Music]
0:50 [Applause]
0:52 [Music]
0:56 ladies and gentlemen
0:58 esteemed faculty members
1:02 distinguished yes
1:05 proud parents
1:07 and above all
1:09 the 2023
1:12 graduating class
1:14 of the national Taiwan University
1:21 [Applause]
1:22 [Music]
1:26 today is a very special day for you
1:30 and a dream come true
1:33 for your parents
1:37 [Applause]
1:44 you should be moving out soon
1:50 it is surely a day of Pride and Joy
1:55 your parents have made sacrifices
1:58 to see you on this day
2:02 yeah
2:05 they're right here
2:14 let's show all of our parents and our
2:18 grandparents many of them are here
2:20 our appreciation
2:22 [Applause]
2:25 [Music]
2:30 I came to NTU for the first time over a
2:33 decade ago
2:36 Dr Chang invited me to visit his
2:39 computational physics lab
2:42 as I recall his son
2:44 based in Silicon Valley
2:46 had learned of nvidia's Cuda invention
2:51 and recommended his father
2:54 utilize it for his quantum physics
2:57 simulations
2:59 when I arrived
3:02 he opened the doors to show me
3:04 what he had made
3:08 Nvidia she forced gaming cards
3:11 filled the room
3:15 plugged into open PC motherboards
3:19 and sitting on metal shelves
3:22 in the aisles
3:24 were oscillating
3:27 thoughtful fans
3:32 Dr Chang
3:34 had built a homemade supercomputer
3:39 the Taiwanese way
3:43 out of gaming graphics cards
3:47 and he started
3:50 here an early example
3:53 of nvidia's Journey he was so proud
3:57 and he said to me
3:59 Mr Wong
4:01 because of your work
4:04 I can do my life's work
4:08 in my lifetime
4:11 those words touch me to this day
4:14 and perfectly capture our company's
4:17 purpose
4:19 to help the Einstein and da Vinci of our
4:22 time
4:23 do their lives work
4:26 I am so happy to be back at NTU and to
4:29 be your Commencement Address
4:32 the world was simpler when I graduated
4:35 from Oregon State University
4:38 TVs were not flat yet
4:41 there was no cable television
4:45 an MTV
4:47 and the words
4:49 mobile
4:51 and phone
4:54 didn't go together
4:57 the year was 1984 the IBM PCAT and Apple
5:02 Macintosh launched the PC Revolution
5:06 and started the ship and software
5:10 industry that we know today
5:13 you enter a far more complex world
5:17 with geopolitical social and
5:20 environmental changes and challenges
5:24 surrounded by technology
5:27 we are now perpetually connected
5:30 and immersed an additional world
5:34 that parallels our real world
5:37 cars are starting to drive by themselves
5:43 40 years
5:45 that after the computer industry created
5:48 the whole PC
5:50 we invented artificial intelligence
5:54 like software that automatically drives
5:57 a car
5:58 or studies x-ray images
6:01 AI software has opened the door
6:05 for computers to automate tasks
6:08 for the world's largest
6:11 multi-trillion dollars of Industries
6:15 Healthcare Financial Services
6:18 transportation and Manufacturing
6:21 AI has opened immense opportunities
6:24 agile companies will take advantage of
6:27 AI and boost their position
6:31 companies look so will perish
6:35 entrepreneurs
6:36 [Music]
6:38 many of them here today
6:40 will start new companies
6:43 and like in every Computing era before
6:46 create new Industries
6:49 AI will create new jobs
6:51 that didn't exist before
6:54 like data engineering
6:56 prompt engineering
6:58 AI Factory operations
7:01 and AI safety Engineers these are jobs
7:04 that have never existed before
7:07 automated tasks will obsolete some jobs
7:11 and for sure
7:14 AI will change every job
7:18 for charging the performance of
7:20 programmers
7:21 designers artists
7:24 marketers
7:25 and Manufacturing planners
7:29 just as every generation before you
7:32 Embrace Technologies
7:34 seed every company
7:37 and you
7:39 must learn to take advantage of AI
7:42 and do amazing things
7:45 with an AI co-pilot by your site
7:49 while some worry that AI may take their
7:53 jobs
7:55 someone who expert with AI will
8:01 we are at the beginning of a major
8:03 technology era
8:05 like PC
8:08 internet mobile and Cloud
8:11 but AI is
8:13 far more fundamental
8:17 because every Computing layer has been
8:19 reinvented
8:21 from how we write software
8:24 to how it's processed
8:26 AI has reinvented computing
8:29 from the ground up
8:32 in every way this is a Reverb
8:34 of the computer industry
8:37 and a golden opportunity for the
8:40 opportunity for the companies of Taiwan
8:43 you are the foundation in Bedrock
8:46 of the computer industry
8:49 within the next decade
8:51 our industry will replace over a
8:54 trillion dollars
8:56 of the world's traditional computers
8:59 with new accelerated AI computers
9:05 my journey started 40 years before yours
9:11 1984
9:13 was a perfect year to graduate
9:17 I predict
9:19 that 2023 will be as well
9:24 what can I tell you as you begin your
9:26 journey
9:29 today is the most successful day of your
9:32 life so far
9:36 you're graduating from the national
9:37 Taiwan University
9:41 I was also successful
9:45 until I started a video
9:49 at Nvidia
9:52 I screws failures
9:54 [Music]
9:55 great big ones
9:58 all humiliating and embarrassing
10:02 many nearly doomed us
10:07 let me tell you three Nvidia stories
10:10 that Define us today
10:13 we found an Nvidia to create accelerated
10:15 computing
10:17 our first application was 3D graphics
10:21 for PC gaming
10:24 we invented an unconventional 3D
10:27 approach called forward texture mapping
10:29 and curse
10:32 our approach was substantially lower
10:35 cost
10:37 we won a contract with Sega to build
10:39 their game console
10:41 which attracted games for our platform
10:44 and funded our company
10:48 after one year of development
10:50 we realized our architecture
10:52 was the wrong strategy
10:55 it was technically poor
10:58 and Microsoft was about to announce
11:01 Windows 95 direct 3D based on inverse
11:06 texture mapping and triangles
11:10 many companies who are already working
11:12 on 3D chips to support the standard
11:17 depleted sega's game console
11:20 we would have built inferior technology
11:24 be incompatible with Windows
11:27 and made too far behind to catch up
11:33 but we would be out of money
11:36 if we didn't finish the contract
11:39 either way
11:41 we would be out of business
11:44 contacted the CEO of Sega
11:47 and explain that our invention was the
11:50 wrong approach
11:52 that Sega should find another partner
11:55 and that we could not complete it's the
11:58 contract and the console
12:01 we had to stop
12:04 but
12:06 I needed Sega to pay us
12:08 in whole
12:10 or Nvidia would be out of this business
12:14 I was embarrassed to ask
12:17 he reminds me son
12:19 the city of Sega
12:21 to his credit
12:23 and my amazement
12:25 agreed
12:27 his understanding and generosity gave us
12:31 six months to live
12:34 with that
12:36 we built Reva 128.
12:39 it's just us we were running out of
12:41 money
12:42 or even 128
12:45 shot the young 3D Market
12:47 put us on the map
12:49 and save the company
12:52 the strong demand for our chip led me
12:54 back to Taiwan
12:55 after leaving at the age of four
12:58 to me foreign
13:01 a partnership
13:03 that has lasted 25 years
13:07 confronting our mistake
13:09 and with humility asking for help
13:14 save Nvidia
13:17 these traits
13:19 are the hardest
13:21 for the brightest
13:23 and most successful
13:25 like yourself
13:28 in 2007
13:31 we announced could a GPU accelerated
13:34 community
13:36 our aspiration was for Cuda to become a
13:39 programming model
13:40 that boosts applications from scientific
13:43 computing
13:45 the physics simulations
13:47 to image processing
13:50 creating a new Computing model is
13:53 incredibly hard
13:55 and rarely done in history
13:58 the CPU Computing model has been the
14:02 standard for 60 years
14:05 since the IBM system 360.
14:09 Cuda needed developers to write
14:11 applications
14:12 and demonstrate the benefits
14:15 of the GPU
14:17 developers need a large install base
14:22 and a large Cuda install base
14:25 heated customers
14:27 buying new applications
14:31 so to solve the chicken or the egg
14:33 problem
14:34 we use G-Force
14:37 our gaming GPU which already had a large
14:40 Market of hammers
14:42 to build the install base
14:46 but the added cost of Cuda
14:48 was very hard
14:51 nvidia's profit took a huge hit
14:55 for many years
14:57 our market cap hovered just below just
15:01 above one billion dollars
15:05 we suffered many years of poor
15:08 performance
15:10 our shareholders
15:12 were skeptical of Cuda and preferred
15:16 we focus on improving profitability
15:20 but we persevered
15:23 we believe the time for Accelerated
15:25 Community would come
15:28 we created a conference called GTC
15:32 and promoted Coda tirelessly worldwide
15:37 then
15:38 the applications came
15:41 seismic processing
15:43 CT reconstruction
15:45 molecular Dynamics
15:47 particle particle physics
15:50 fluid dynamics
15:52 and image processing
15:55 one science domain after another they
15:58 came
16:00 we worked with each developer to write
16:03 their algorithms and Achieve incredible
16:06 Speedos
16:09 then
16:10 in 2012
16:13 AI researchers
16:16 discovered Cuda
16:18 the famous alexnet
16:21 trained on G-Force GTX 580
16:25 started the Big Bang of AI
16:29 fortunately
16:31 we realized the potential of deep
16:33 learning as a whole new software
16:35 approach
16:37 and turned every aspect of our company
16:40 to advance this new field
16:44 we Risk Everything
16:46 to pursue deep learning
16:50 a decade later
16:52 the AI Revolution started
16:55 and Nvidia is the engine of AI
16:58 developers worldwide
17:02 we invented Cuda and pioneered
17:04 accelerating Computing and AI
17:06 but the journey
17:09 forged our corporate character
17:12 to endure the pain and suffering
17:16 that is always needed to realize a
17:19 vision
17:22 One More Story
17:24 in 2010
17:26 Google aimed to develop Android into a
17:30 mobile computer
17:31 with excellent graphics
17:34 the phone industry had chip companies
17:37 with modem expertise
17:40 nvidious Computing and Graphics
17:42 expertise made us an ideal partner to
17:45 help build Android
17:47 so we entered
17:49 the mobile ship Market
17:51 we were instantly successful
17:54 and our business is stock price surged
17:59 the competition
18:01 quickly sworn
18:04 Moto ship makers were learning how to
18:06 build
18:07 computerships
18:09 and we were learning how to build
18:11 motives
18:14 the full Market
18:16 is huge
18:19 we could fight for share
18:23 instead
18:24 we made a hard decision
18:27 and sacrificed the market
18:31 nvidia's mission is to build computers
18:33 to solve problems
18:35 that ordinary computers cannot
18:39 we should dedicate ourselves
18:42 to realizing our vision
18:44 and to making a unique contribution
18:48 our strategic we treat
18:51 paid off
18:53 by leaving the phone market we open our
18:56 minds
18:57 to invent a new one
18:59 we imagine creating a new type of
19:02 computer
19:03 for robotic computers
19:06 with mural Network processor
19:09 safety architectures
19:12 that run AI algorithms
19:15 at the time
19:17 this was a zero billion dollar market
19:22 to retreat
19:24 from a giant phone market
19:26 to create
19:28 a zero billion dollar robotics Market
19:32 we now
19:34 have billions of dollars of automotive
19:37 and Robotics business
19:40 and started a new industry
19:43 retreat
19:47 does not come easily
19:49 to the brightest
19:51 and most successful
19:54 people like yourself
19:56 yet
19:58 strategic retreat
20:01 sacrifice
20:03 deciding what to give up
20:07 is at the core
20:08 the very chord of success
20:13 class of 2023
20:15 you're about to go into a world
20:17 witnessing great change
20:20 and just as I was with the PC and Chip
20:24 Revolution
20:26 you're at the beginning at the starting
20:28 line
20:29 of AI
20:32 every industry
20:34 will be revolutionized
20:37 Reborn
20:39 ready for new ideas
20:42 your ideas
20:45 in 40 years we created the PC
20:50 internet
20:52 mobile
20:54 cloud
20:55 and now the AI era
20:59 what will you create
21:02 whatever it is
21:05 run after it like we did
21:08 run
21:10 don't lock
21:13 remember
21:15 either you're running for food
21:19 or you are
21:21 running from being food
21:31 sounds
21:41 either you're running for food
21:44 or you are running
21:46 from becoming food
21:55 and oftentimes
21:57 you can't tell which
21:59 either way
22:01 run
22:03 and for your journey Take Along some of
22:06 my learnings
22:10 that you will have the humility
22:12 to confront failure
22:14 admit a mistake
22:16 and ask for help
22:20 you will endure pain and suffering
22:23 needed to realize your dreams
22:27 and you will make sacrifices
22:30 to dedicate yourself
22:32 to a life of purpose and doing your
22:35 life's work
22:37 class of 2023.
22:40 I stand by a heartfelt congratulations
22:43 to each one of you
22:46 [Music]
22:50 [Applause]
22:58 thank you
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