Uncomfortable Silence Avoided:
Jensen, a CEO, explained his strategy for dealing with technical difficulties during a presentation. When a co-speaker encountered technical issues, Jensen stepped in to tell jokes and keep the event going, preventing an awkward silence.

Former Presidents’ Praise:
Jensen recalled a previous meeting where he asked the CASPA president about his keynote speech. Two former presidents had given positive feedback, leading to Jensen’s invitation to return for another presentation.

Selfie Requests:
Jensen commented on the audience’s enthusiasm, noting that many wanted to take selfies with him. He joked that he would be there all night if he accommodated everyone’s requests.

Company Milestones:
Jensen mentioned that his company, NVIDIA, and Supermicro, the company of another speaker, both celebrated their 30th anniversaries. He used this shared milestone to establish a sense of camaraderie with the speaker.

Technical Assistance:
Jensen emphasized the importance of teamwork and providing assistance to colleagues when needed. He demonstrated this by stepping in to help resolve technical difficulties faced by another speaker during the presentation.

NVIDIA’s Technology Evolution:
NVIDIA has been at the forefront of technology for over 30 years, with groundbreaking advancements in 3D graphics, GPUs, CUDA, AI, and more.

The Media and Emerging Technologies:
New technologies often lead to the emergence of media products, as seen with Bitcoin mining and AI.

Unique Management Style:
Jensen Huang emphasizes that NVIDIA’s success is rooted in unique management and a focus on long-term goals.

Accelerated Computing:
Accelerated computing, combining CPUs and GPUs, reduces costs, improves energy efficiency, and enables new applications.

Software and Architecture Chip Design:
NVIDIA’s strength lies in software and architecture chip design, enabling the acceleration of specific applications.

Future Applications for Accelerated Computing:
Jensen Huang highlights robotics, protein engineering, and digital biology as promising areas for accelerated computing.

High-Level Description Languages in Chip Design:
The use of high-level description languages has revolutionized chip design, allowing engineers to design complex chips efficiently.

Core Beliefs Driving NVIDIA’s Bold Decisions:
NVIDIA’s core values include choosing challenging problems that take time to solve, making a significant impact, and finding joy in the work.

Exiting the Mobile Market:
NVIDIA’s decision to leave the mobile market stemmed from the recognition that other companies could do it better, allowing NVIDIA to focus on its strengths.

NVIDIA’s Unique Focus on Accelerated Computing:
NVIDIA is the only company dedicated to accelerated computing for three decades. The problem of accelerated computing is extremely challenging and requires continuous effort. NVIDIA’s long-term commitment and focus have given them a unique advantage in this field.

Challenges and Decisions that Shaped NVIDIA’s Company:
In the early days, NVIDIA faced significant financial and time constraints. They made several critical decisions to ensure the success of their chip design. One decision was to use an emulator to develop software concurrently with the chip design. This approach allowed them to create a perfect chip without compromising on quality.

NVIDIA’s Chip Design Methodology:
NVIDIA’s methodology involves designing software first and only taping out the chip when it’s perfect. This approach ensures that the chip meets all requirements and minimizes the risk of errors. NVIDIA has maintained this methodology to this day, even for their largest chips.

Acquisitions and Strategic Partnerships:
NVIDIA prefers to build and invent its own technologies but recognizes the value of acquiring companies with specialized expertise. Recent acquisitions like OctoML, OmniML, and Mellanox have brought valuable software and networking capabilities to NVIDIA. NVIDIA seeks to acquire companies with unique and complementary technologies that cannot be easily replicated.

AI Democratization and Its Impact on Various Domains:
NVIDIA’s goal is to democratize AI, making it accessible to a wide range of industries and applications. AI has already made significant inroads in healthcare, biology, manufacturing, and heavy industries. NVIDIA sees potential for AI democratization in other domains as well. AI’s ability to automate intelligence and solve complex problems opens up new possibilities for various sectors.

AI Accessibility:
AI technology is expensive due to large system requirements and the expertise needed to write software. Industries with the most data, computing expertise, and scale, typically consumer internet companies, can afford AI. Many vertical industries with important problems to solve, such as chip design and digital biology, lack the computational scale for AI.

NVIDIA’s Mission:
NVIDIA aims to make AI accessible to every company and industry in the world. This effort will contribute to the advancement of industries beyond consumer internet.

The Future of Computing:
Accelerated computing is a new wave of computing that is more efficient and cost-effective than traditional central processing units (CPUs). Accelerated computing allows for orders of magnitude more efficient computation. A new programming model is emerging due to accelerated computing, enabling non-programmers to utilize AI technology.

Jensen Huang’s Perspective:
The current wave of accelerated computing is just beginning and has a lot of room for growth. Accelerated computing will revolutionize various industries, including chip design, EDA, CAE, physics, climate science, digital biology, and material sciences.

The Future of Programming:
* Natural language will become the programming language of the future.
* Humans will communicate with computers through speech, writing, and examples, and computers will generate programs to execute the desired tasks.
* This AI-driven programming revolution will eliminate the need for traditional coding.

Assembling AIs:
* AI development will shift from programming to assembling AI teams, similar to forming teams of human specialists.
* AI teams will be tasked with specific missions, given resources, and expected to achieve desired outcomes.
* This approach will revolutionize software development, making it more intuitive and efficient.

The Next 10 Years:
* Computers will become unrecognizable in the next decade due to the AI revolution.
* Computing will undergo a profound transformation, leading to significant advancements in various fields.

The Importance of Ecosystems:
* Ecosystems are crucial for the success of computing models.
* A new computing model can only be successful if it offers substantial advantages in terms of energy efficiency, speed, cost-effectiveness, or other critical factors.
* Applications, developers, and an install base are essential components of a thriving ecosystem.
* A positive feedback system is necessary to attract more users, developers, and applications, leading to sustained growth and innovation.

NVIDIA CUDA’s Ecosystem:
* NVIDIA CUDA has achieved widespread adoption and a positive feedback system.
* It is used in various fields of science and industry, with millions of developers and a vast install base.
* CUDA’s ecosystem has become an entry barrier for competitors.

Climate Change Adaptation:
* Mitigation alone will not be sufficient to address climate change. Adaptation is necessary.
* Predictions and projections of climate change impacts are essential for effective adaptation strategies.

Challenges of Climate Simulation:
Simulating climate is incredibly difficult due to the complexity of factors involved. Factors to consider include atmospheric physics, low and high cloud physics, ocean physics, ice physics, lake physics, and land physics. Additionally, human input, human factors, and human drivers need to be accounted for. Predicting climate for tens of years requires extensive computation.

Principle Physics vs. Artificial Intelligence:
Traditional principle physics simulations are essential for understanding causality. However, knowing causality is not necessary for climate prediction. Artificial intelligence can be trained using principle physics to predict climate without causal simulations. This approach can potentially result in hundreds of thousands or millions of times more performant predictions.

Building a Digital Twin of the Earth:
To achieve accurate climate prediction, NVIDIA is creating a digital twin of the Earth. This digital twin will enable high-resolution climate simulations.

STEM Inspiration for Young Kids

Lead by Example:
The best way to inspire young kids to pursue STEM is to lead by example. STEM professionals should showcase the impact of their work and the joy it brings. STEM education provides a solid foundation for contributing to the world’s most important industries.

STEM as a Path to Greatness:
A STEM foundation opens doors to careers that address some of the world’s greatest challenges. STEM education teaches critical thinking, reasoning, and problem-solving skills. It provides a pathway to a fulfilling and joyful career.

Personal Reflections on Career and Success

Loving Every Job:
Jensen Huang emphasizes the importance of loving your job, regardless of its nature. He shares his experiences working as a dishwasher, busboy, waiter, and in various tech companies. He believes that dedication and passion are key to success in any field.

Best Career Advice:
The best career advice Huang received came from a gardener in Kyoto. The gardener’s dedication to his work, even in challenging conditions, inspired him. Huang emphasizes the importance of focusing on the present and taking pride in one’s work.

Patience and Dedication:
Huang emphasizes the importance of patience and dedication in one’s career, rather than constantly chasing after things. He believes in focusing on the present and doing the best possible work, leaving everything on the field.

Work Ethic:
Huang describes his tireless work ethic, leading to exhaustion by the end of each day. He finds happiness in completing his tasks to the best of his ability.

Lack of Ambition:
Surprisingly, Huang admits he is not ambitious in the traditional sense. He does not aspire to do more, but rather to do better at what he is currently doing.

Absence of Long-Term Strategy:
NVIDIA, under Huang’s leadership, operates without a long-term strategy. Their focus is solely on what they are doing today, which may seem counterintuitive in terms of career strategy.

Advice from a Gardener:
Huang recalls advice from a gardener who said, “I have plenty of time.” He interprets this as a reminder to enjoy the work, do one’s best, and let good things come naturally.

Jensen Huang’s Thoughts on TTO Architectures:
Various companies are exploring diverse AI architectures, including reconfigurable data, internet computing, light computing, and wristwrap AI. Jensen Huang acknowledges the existence of good ideas and the possibility of adopting them if they prove superior. NVIDIA’s goal is to address complex computing problems that traditional computers cannot solve, driving industry progress. Huang emphasizes the importance of avoiding limitations by focusing solely on GPU architectures, encouraging the pursuit of broader transportation solutions.

Jensen Huang’s Leadership Qualities:
Huang emphasizes reasoning from first principles to identify impactful technologies like general-purpose computing. He believes that general-purpose technologies, while versatile, may not excel at any one specific task. Huang highlights the significance of finding valuable applications for accelerated computing. The selection of computer graphics as NVIDIA’s initial focus was a successful business decision, given the complexity of graphics processing at the time.

Principles-Based Reasoning:
The foundation of leadership is rooted in first principles of reasoning, technology, and computing. Continuously reason through problems and decisions using first principles to derive logical solutions.

Human Character:
Intelligent people are common, with many achieving perfect scores and high GPAs. The number of highly intelligent individuals is increasing due to improved education and advancements in science, arts, and philosophy.

Leadership Distinction:
The question arises as to why some intelligent individuals stand out as leaders and achieve remarkable success.

Chinese Influence:
Chinese upbringing instills the ability to tolerate long-term pain and suffering, a trait that contributes to leadership resilience.

Grit:
Grit is the ability to endure pain and suffering. It is recognized as one of the most important characteristics of successful people.

Jensen Huang’s Wish:
Jensen Huang wishes upon the audience a lifetime of pain and suffering. He believes that this is necessary for success.

Audience Reaction:
The audience is thrilled to have Jensen Huang with them. They are curious about the number of people in the audience.