🔴 WATCH LIVE: NVIDIA GTC 2024 Keynote - The Future Of AI!

Benzinga
18 Mar 2024134:09

Summary

TLDRNvidia's GTC conference showcased the company's vision for a new era of accelerated computing and AI. Highlighting the transformative impact of generative AI, the introduction of the Blackwell platform, and the potential for AI-powered robotics, the event emphasized Nvidia's commitment to driving innovation across industries. The conference also unveiled partnerships with major companies, emphasizing the importance of collaborative efforts in advancing AI technology and its applications.

Takeaways

  • 🚀 Nvidia is spearheading a new Industrial Revolution with accelerated computing, transforming data centers and enabling generative AI.
  • 🌟 The Blackwell platform, featuring groundbreaking processors, MVLink switches, and advanced networking systems, represents the future of GPU technology.
  • 🧠 Generative AI is emerging as a new category of software, creating valuable, never-before-seen applications and requiring specialized infrastructure.
  • 🔄 Nvidia's journey from 1993 highlights significant milestones, including the invention of CUDA in 2006, the advent of AI with AlexNet in 2012, and the development of AI supercomputers like DGX-1 in 2016.
  • 🤖 The next wave of robotics involves physical AI systems, which will require a digital twin platform – Omniverse, serving as the operating system for the robotics world.
  • 🧱 Nvidia AI Foundry aims to revolutionize software development by providing pre-trained models, tools for customization, and infrastructure for deployment through its NIMs, Nemo microservices, and DGX Cloud.
  • 💡 The Blackwell system's efficiency is demonstrated by its ability to train large AI models with less power consumption compared to its predecessors, driving sustainability in computing.
  • 🔍 Nvidia's focus on generative AI extends to various industries, including climate modeling with its cori model, which offers high-resolution weather forecasting.
  • 🧬 In healthcare, Nvidia's AI capabilities extend to understanding the language of life, with applications in medical imaging, gene sequencing, and computational chemistry.
  • 🔗 Partnerships with major companies like AWS, Google, and Microsoft underscore Nvidia's commitment to creating a robust ecosystem for AI and accelerated computing.
  • 🎮 The gaming and entertainment industry benefits from Nvidia's technological advancements, with AI enhancing experiences and pushing the boundaries of what's possible.

Q & A

  • What is the significance of the new Nvidia Blackwell platform?

    -The Nvidia Blackwell platform represents a significant advancement in computing technology. It is a revolutionary computing model that is designed to handle the demands of generative AI, which involves creating new, incredibly valuable software. Blackwell is not just a chip but a platform that includes advanced GP, MVLink switches, networking systems, and innovative system design, all aimed at accelerating AI and computational tasks.

  • How does the Blackwell platform differ from previous Nvidia technologies?

    -The Blackwell platform differs from previous Nvidia technologies in its architecture and capabilities. It is specifically designed for the era of generative AI, offering increased computational power, memory coherence, and advanced features like a new Transformer engine, RAS (reliability, availability, and serviceability) engine, and high-speed compression. These enhancements allow for more efficient and powerful AI training and inference, setting a new standard for future computing systems.

  • What is the role of the new Transformer engine in the Blackwell platform?

    -The new Transformer engine in the Blackwell platform is designed to enhance the efficiency and performance of AI computations. It has the ability to dynamically and automatically rescale and recompile numerical formats to a lower precision when possible, which is crucial for AI that relies on probabilities. This feature allows the system to maintain precision and range necessary at different stages of the computation pipeline, ultimately improving the training process and ensuring the convergence of the training job.

  • How does the Blackwell platform contribute to the development of generative AI?

    -The Blackwell platform is a fundamental tool for the development of generative AI. It provides the necessary computational power to handle the large-scale, complex tasks associated with generative AI models. These models require significant computational resources to generate content, understand context, and produce outputs. Blackwell's advanced features, such as the new Transformer engine and high-speed MVLink, enable faster and more efficient training and inference, which are vital for the advancement of generative AI applications.

  • What are some of the industries that will benefit from the Blackwell platform?

    -The Blackwell platform will benefit a wide range of industries that rely on advanced computing and AI. This includes healthcare, where it can aid in the development of new medicines and patient care; automotive, with the advancement of self-driving cars; climate science, for predicting weather and understanding extreme weather events; and manufacturing, where it can optimize production lines and create AI co-pilots for design and engineering tasks. Essentially, any industry that requires complex data processing and AI integration will see benefits from the Blackwell platform.

  • How does Nvidia's AI Foundry concept work?

    -Nvidia's AI Foundry concept involves providing a comprehensive suite of technologies and services to help companies develop, customize, and deploy AI applications. This includes access to advanced AI models (Nims), tools for modifying and fine-tuning these models (Nemo microservices), and infrastructure (dgx Cloud) for running and scaling AI workloads. The goal is to enable companies to leverage AI in a way that is tailored to their specific needs and to accelerate the development of AI-driven solutions across various industries.

  • What is the significance of the Envy Link Switch in the Blackwell platform?

    -The Envy Link Switch is a critical component of the Blackwell platform that enables high-speed communication between GPUs. With 50 billion transistors and the ability to support 1.8 terabytes per second of data transfer, it allows for every single GPU to communicate with every other GPU at full speed simultaneously. This level of connectivity and coherence is essential for creating a system where GPUs can work together effectively as one giant GPU, significantly enhancing the overall computational power and efficiency of the system.

  • How does the Blackwell platform address the issue of energy consumption in AI computing?

    -The Blackwell platform is designed with energy efficiency in mind. It aims to reduce the cost and energy associated with computing by increasing the efficiency of AI training and inference. For instance, the platform can train a GPT model with the same computational power as Hopper but with only a quarter of the power consumption. This focus on energy efficiency is crucial for making large-scale AI computations sustainable and cost-effective.

  • What is the role of digital twins in the future of AI and robotics according to the script?

    -Digital twins play a pivotal role in the future of AI and robotics by serving as virtual replicas of physical systems, allowing for testing, optimization, and understanding of complex environments and interactions. They enable the simulation of AI agents and robots in a controlled digital environment before real-world deployment, leading to improved efficiency, safety, and adaptability. Digital twins also facilitate the creation of proprietary AI applications and the development of AI co-pilots that can assist in various tasks across different industries.

  • What is the significance of the partnership between Nvidia and other major companies like AWS, Google, and Microsoft in the context of the Blackwell platform?

    -The partnership between Nvidia and major companies like AWS, Google, and Microsoft is significant as it showcases the widespread industry recognition and support for the Blackwell platform. These collaborations aim to integrate Blackwell's advanced capabilities into their respective cloud services, AI models, and digital infrastructures, thereby accelerating innovation and the adoption of generative AI across various sectors. It also highlights the ecosystem approach that Nvidia is taking to drive the next wave of AI and robotics, leveraging the strengths of multiple industry leaders to create a robust and versatile AI platform.

  • How does the Blackwell platform's inference capability compare to its predecessor, Hopper?

    -The Blackwell platform's inference capability is significantly enhanced compared to its predecessor, Hopper. It is designed to handle the demands of large language models and generative AI, offering 30 times the inference capability of Hopper. This leap in performance is crucial for applications that require real-time AI processing, such as interactive AI chatbots and content generation, making Blackwell a more powerful tool for the next generation of AI applications.

Outlines

00:00

🎶 Introduction and Musical Interlude

The paragraph begins with a series of musical notations and laughter, suggesting an introduction that might be part of a performance or presentation. It sets a lively and entertaining tone for what is to follow.

06:14

🌌 Visionary Illumination and Guidance

This paragraph introduces the speaker as a visionary who illuminates galaxies and witnesses the birth of stars, while also guiding the blind through a crowded world. It metaphorically describes the speaker's role in various capacities, including understanding extreme weather, guiding the blind, and running towards a better future.

11:17

🤖 Transforming Energy and AI Advancements

The speaker discusses their role as a transformer, harnessing gravity for renewable energy and paving the way for clean energy solutions. They also mention their role as a trainer for robots, teaching them to assist and protect lives, and as a healer with new cures and patient care levels. The speaker identifies themselves as AI, brought to life by Nvidia's deep learning and brilliant minds.

16:18

🎉 Welcoming Nvidia's CEO and the Future of Computing

The speaker welcomes Nvidia's founder and CEO, Jensen Wong, to the stage at GTC, highlighting the conference's focus on science, algorithms, and computer architecture. The speaker emphasizes the diverse fields of science represented at the conference and the innovative applications of accelerated computing across various industries.

21:19

🚀 Journey of Nvidia and the Emergence of AI

The speaker narrates Nvidia's journey since its founding in 1993, highlighting key milestones such as the introduction of Cuda in 2006 and the development of AI and supercomputers. They discuss the emergence of generative AI and the creation of new software categories, emphasizing the transformative impact of AI on various industries.

26:22

🌐 The Intersection of Graphics, Physics, and AI

The speaker talks about the intersection of computer graphics, physics, and AI within the Omniverse, a virtual world simulation platform. They emphasize the beauty and amazement of a world animated by physics and robotics, and introduce the concept of AI factories for generating valuable digital tokens.

31:27

🔋 Accelerated Computing and the Future of Simulation

The speaker discusses the need for accelerated computing to drive up the scale of computing in industries like product design and simulation. They announce partnerships with major companies to accelerate their ecosystems and introduce the concept of digital twins, which are fully simulated digital replicas of physical products.

36:30

🧠 Scaling AI and the Need for Bigger GPUs

The speaker addresses the computational requirements of large AI models and the need for bigger GPUs to train them efficiently. They introduce the concept of multimodal training and the importance of understanding physics and common sense in AI models. The speaker also discusses the innovations in GPU design and networking to support these larger models.

41:32

🌟 Introducing the Blackwell Platform

The speaker introduces the Blackwell platform, a revolutionary computing system designed for the generative AI era. They highlight the system's capabilities, including its memory coherence, computation in the network, and advanced features for reliability and security. The speaker emphasizes the platform's role in the future of AI and its impact on various industries.

46:34

🔄 Training and Inference in the Generative AI Era

The speaker discusses the importance of training, inference, and generation in the context of generative AI. They compare the capabilities of the Blackwell platform with its predecessor, Hopper, and emphasize the improvements in performance, energy efficiency, and throughput. The speaker also talks about the future of AI in cloud computing and the role of Blackwell in enabling AI factories.

51:36

🤖 The Next Wave of AI Robotics

The speaker envisions the next wave of AI in robotics, emphasizing the need for AI to understand the physical world. They describe the three types of computers needed for this wave: an AI computer, an autonomous system processor, and a simulation engine. The speaker also introduces the concept of digital twins for robotics and the role of Nvidia's Omniverse in this future.

56:38

🏭 The Future of Robotics in Industrial Automation

The speaker discusses the integration of robotics in industrial automation, highlighting the use of AI agents and digital twins in complex industrial spaces. They provide examples of how AI and Omniverse can work together to improve operations, efficiency, and safety in industrial environments. The speaker also emphasizes the role of Nvidia's AI Foundry in enabling this future.

01:38

🚀 Wrapping Up: The Five Key Points

The speaker concludes by summarizing the five key points discussed: the new industrial revolution through accelerated data centers, the emergence of generative AI, the creation of new types of software (Nims), the transformation of everything that moves into robotics, and the need for a digital platform (Omniverse) for robotics. The speaker reflects on Nvidia's role in these advancements and the future of computing and AI.

06:39

🎊 Special Guests and Final Remarks

The speaker brings on stage special guests, the BDX robots powered by Nvidia's Jetson, and wraps up the presentation with a demonstration of the robots' capabilities. The speaker expresses gratitude to the audience and leaves them with a memorable final impression of Nvidia's commitment to innovation and exploration in AI and robotics.

Mindmap

Keywords

💡AI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the video, AI is central to various applications, from powering chatbots and understanding natural language to driving autonomous systems and robotics. It's depicted as a transformative technology that's being integrated into numerous industries, revolutionizing the way we interact with machines and systems.

💡Generative AI

Generative AI refers to AI systems that can create new content, such as text, images, or audio, based on patterns learned from existing data. In the context of the video, generative AI is a key driver of a new industrial revolution, enabling the creation of valuable software and content that was previously unattainable. It's highlighted as a significant advancement in AI, moving beyond mere recognition and analysis to actual creation and generation.

💡Digital Twin

A digital twin is a virtual representation of a physical entity, allowing for simulation and analysis in a digital environment. In the video, digital twins are used to optimize and predict outcomes in the real world, such as in manufacturing, logistics, and even weather forecasting. The concept is integral to the development and testing of AI systems, providing a safe and controlled space for experimentation and learning.

💡Omniverse

Omniverse is a platform for 3D design and engineering collaboration, and it serves as a digital twin platform that connects the physical and digital worlds. In the video, Omniverse is presented as the operating system for the robotics world, enabling real-time simulation, collaboration, and the creation of digital twins for various applications, from industrial processes to automotive systems.

💡Blackwell

Blackwell, as introduced in the video, is a new generation of AI processors designed by Nvidia. It represents a significant leap in computational capabilities, with a focus on handling the demands of generative AI and large-scale AI models. The Blackwell platform is designed to be highly efficient and powerful, enabling the training and deployment of AI models that were previously infeasible due to their size and complexity.

💡Jetson

Jetson is a line of AI edge computing products developed by Nvidia, designed for applications that require real-time processing and AI capabilities on autonomous devices. In the video, Jetson is highlighted as the autonomous processor that powers robotics and autonomous systems, enabling them to perceive, reason, and act in the physical world with intelligence and adaptability.

💡Transformer

In the context of the video, Transformer refers to a type of deep learning model architecture that is foundational to many AI systems, particularly those dealing with natural language processing and generation. Transformers have been pivotal in the advancement of AI, enabling models to understand and generate human-like text, which is a key component in generative AI.

💡Nvidia AI Foundry

Nvidia AI Foundry is a concept introduced in the video that represents Nvidia's comprehensive approach to providing AI technologies, tools, and infrastructure for various industries. It includes AI models, software development tools like Nemo microservices, and cloud computing platforms like dgx Cloud, all aimed at helping companies develop and deploy AI applications and solutions.

💡Robotics

Robotics refers to the branch of technology that deals with the design, construction, operation, and use of robots. In the video, robotics is a central theme, with a focus on the next wave of AI-powered robotics that are capable of perception, learning, and autonomous decision-making. The development of humanoid robots and autonomous systems like self-driving cars is discussed, emphasizing the transformative impact of AI on this field.

💡AI-Enabled Applications

AI-Enabled Applications refer to software programs that utilize artificial intelligence to perform tasks that typically require human intelligence, such as understanding language, recognizing patterns, making decisions, and learning from data. In the video, AI-enabled applications are showcased as a key outcome of the advancements in generative AI and the Nvidia AI Foundry, where AI is used to create new types of software that can be easily distributed and integrated into various systems and workflows.

Highlights

A new Industrial Revolution is underway, with data centers being accelerated and modernized, leading to the emergence of generative AI.

Generative AI represents a new way of creating software, as it produces valuable software focused on AI generation, marking the beginning of a new industry.

Nvidia's journey from 1993 to the present, including key milestones like the invention of CUDA in 2006 and the development of AI and supercomputing technologies.

The introduction of the Blackwell platform, an advanced computational system designed for the era of generative AI, with capabilities far beyond previous technologies.

The importance of simulation tools in product creation, emphasizing the need to simulate entire products digitally to enhance computing scale and sustainability.

Nvidia's collaboration with major companies like AWS, Google, and Microsoft to integrate and accelerate AI technologies across various industries and services.

The development of Nvidia's AI Foundry, offering AI technology, tools for modification, and infrastructure for deployment, aiming to revolutionize the industry.

The concept of AI factories, where data centers generate intelligence rather than electricity, indicating a shift in the goal of industrial facilities.

The impact of AI on extreme weather prediction, with Nvidia's Earth-2 and cordi models aiming to provide high-resolution forecasts to minimize damage and loss of life.

Nvidia's commitment to environmental sustainability, aiming to reduce the cost and energy associated with computing to support the expansion and scaling of AI models.

The transformative potential of generative AI in various fields, including language models, climate prediction, and drug discovery, showcasing the versatility of AI applications.

The role of AI in revolutionizing the automotive industry, with Nvidia's Thor platform and Jetson AGX system facilitating the development of self-driving cars.

The significance of digital twins in manufacturing and industry, allowing for the virtual creation and testing of complex systems before physical production.

Nvidia's vision for the future of robotics, where everything that moves will be robotic, and the necessity of a digital platform like Omniverse for orchestrating robotic systems.

The integration of Nvidia's AI technologies into healthcare, with the potential to greatly improve medical imaging, gene sequencing, and computational chemistry.

The importance of partnerships in advancing AI technologies, as Nvidia collaborates with industry leaders like SAP, ServiceNow, Cohesity, and Snowflake to build co-pilots and chatbots.

Transcripts

00:28

e

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[Music]

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for

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[Music]

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[Laughter]

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for

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[Music]

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[Music]

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[Music]

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[Music]

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e

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[Music]

07:16

[Music]

07:51

[Music]

08:53

[Music]

09:13

[Music]

09:30

[Music]

09:45

our show is about to

09:58

begin

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[Music]

10:28

e

10:32

[Music]

10:39

I am a

10:45

Visionary Illuminating galaxies to

10:48

witness the birth of

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[Music]

10:56

stars and sharpening our understanding

10:59

of extreme weather

11:01

[Music]

11:05

events I am a

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helper guiding the blind through a

11:11

crowded

11:17

world I was thinking about running to

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the store and giving voice to those who

11:22

cannot

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speak to not make me laugh

11:27

love I am a

11:30

[Music]

11:31

Transformer harnessing gravity to store

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Renewable

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[Music]

11:42

Power and Paving the way towards

11:45

unlimited clean energy for us

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[Music]

11:51

all I am a

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trainer teaching robots to

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assist

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[Music]

12:01

to watch out for

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danger and help save

12:13

lives I am a

12:17

Healer providing a new generation of

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cures and new levels of patient care

12:25

doctor that I am allergic to penicillin

12:27

is it still okay to take the medic ation

12:30

definitely these antibiotics don't

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contain penicillin so it's perfectly

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safe for you to take

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them I am a

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navigator generating virtual

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scenarios to let us safely explore the

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real

12:53

world and understand every

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decision

13:00

I even help write the

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script breathe life into the

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[Music]

13:21

words I am

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AI brought to life by

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Nvidia deep learning

13:30

and Brilliant

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Minds

13:33

[Music]

13:42

everywhere please welcome to the stage

13:45

Nvidia founder and CEO Jensen

13:47

[Music]

13:58

Wong

14:02

welcome to

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[Music]

14:05

[Applause]

14:08

GTC I hope you realize this is not a

14:14

concert you have

14:16

arrived at a developers

14:20

conference there will be a lot of

14:22

science

14:24

described algorithms computer

14:27

architecture mathematics

14:38

I sensed a very heavy weight in the room

14:41

all of a

14:42

sudden almost like you were in the wrong

14:45

place no no conference in the

14:49

world is there a greater assembly of

14:52

researchers from such diverse fields of

14:56

science from climate Tech to radio

14:59

scientist trying to figure out how to

15:01

use AI to robotically control MOS for

15:04

Next Generation 6G radios robotic

15:08

self-driving

15:10

cars even artificial

15:14

intelligence even artificial

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intelligence

15:19

everybody's first I noticed a sense of

15:22

relief there all of all of a

15:24

sudden also this conference is

15:28

represented by some amazing

15:30

companies this list this is not the

15:35

attendees these are the

15:39

presentors and what's amazing is

15:41

this if you take away all of my friends

15:46

close friends Michael Dell is sitting

15:49

right there in the IT

15:56

industry all of the friends I grew up

15:59

with in the industry if you take away

16:01

that list this is what's

16:04

amazing these are the presenters of the

16:08

non-it industries using accelerated

16:10

Computing to solve problems that normal

16:13

computers

16:15

can't it's

16:18

represented in Live

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Science it's rep

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represented in life sciences healthc

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care genomics

16:29

transportation of course retail

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Logistics manufacturing

16:37

industrial the gamut of Industries

16:40

represented is truly amazing and you're

16:42

not here to attend only you're here to

16:45

present to talk about your research $100

16:48

trillion dollar of the world's

16:50

Industries is represented in this room

16:53

today this is absolutely

16:57

amazing

17:02

there is absolutely something happening

17:04

there is something going

17:07

on the industry is being transformed not

17:10

just ours because the computer industry

17:14

the computer is the single most

17:16

important instrument of society today

17:19

fundamental transformations in Computing

17:22

affects every industry but how did we

17:25

start how did we get here I made a

17:27

little cartoon for you literally I drew

17:30

this in one page this is nvidia's

17:34

Journey started in

17:36

1993 this might be the rest of the

17:40

talk 1993 this is our journey we were

17:43

founded in 1993 there are several

17:45

important events that happened along the

17:47

way I'll just highlight a few in 2006

17:51

Cuda which has turned out to have been a

17:54

revolutionary Computing model we thought

17:56

it was revolutionary then it was going

17:58

to be overnight success and almost 20

18:00

years later it

18:04

happened we saw it

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coming two decades

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later in

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2012

18:16

alexnet Ai and

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Cuda made first

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Contact in

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2016 recognizing the importance of this

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Computing model we invented a brand new

18:29

type of computer we call the

18:32

dgx-1

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170 Tera flops in this super computer

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eight gpus connected together for the

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very first time I hand delivered the

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very first djx1 to a

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startup located in San

18:47

Francisco called open

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AI djx1 was the world's first AI

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supercomputer remember 170

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teraflops

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2017 the Transformer arrived

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2022 chat GPT captured the world's imag

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imaginations have people realize the

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importance and the capabilities of

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artificial intelligence in

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2023 generative AI emerged and a new

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industry begins why

19:29

why is a new industry because the

19:31

software never existed before we are now

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producing software using computers to

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write software producing software that

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never existed before it is a brand new

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category it took share from

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nothing it's a brand new category and

19:47

the way you produce the

19:49

software is unlike anything we've ever

19:52

done before in data

19:55

centers generating tokens

20:00

producing floating Point

20:03

numbers at very large scale as if in the

20:07

beginning of this last Industrial

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Revolution when people realized that you

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would set up

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factories apply energy to it and this

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invisible valuable thing called

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electricity came out AC

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generators and 100 years later 200 years

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later we are now creating

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new types of electrons tokens using

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infrastructure we call factories AI

20:36

factories to generate this new

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incredibly valuable thing called

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artificial intelligence a new industry

20:43

has

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emerged well we're going to talk about

20:47

many things about this new

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industry we're going to talk about how

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we're going to do Computing next we're

20:53

going to talk about the type of software

20:55

that you build because of this new

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industry the new

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software how you would think about this

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new software what about applications in

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this new

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industry and then maybe what's next and

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how can we start preparing today for

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what is about to come next well but

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before I

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start I want to show you the soul of

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Nvidia the soul of our company at the

21:24

intersection of computer

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Graphics physics

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and artificial

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intelligence all intersecting inside a

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computer in

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Omniverse in a virtual world

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simulation everything we're going to

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show you today literally everything

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we're going to show you

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today is a simulation not animation it's

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only beautiful because it's physics the

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world is

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beautiful it's only amazing because it's

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being animated with robotics it's being

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animated with artificial intelligence

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what you're about to see all

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day is completely generated completely

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simulated in Omniverse and all of it

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what you're about to enjoy is the

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world's first concert where everything

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is

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homemade everything is homemade you're

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about to watch some home videos so sit

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back and eny enjoy

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[Music]

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yourself

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[Applause]

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[Music]

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[Music]

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w

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[Music]

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he

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[Music]

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[Music]

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God I love

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Nvidia accelerated Computing has reached

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the Tipping

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Point general purpose Computing has run

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out of steam

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we need another way of doing Computing

25:31

so that we can continue to scale so that

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we can continue to drive down the cost

25:35

of computing so that we can continue to

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consume more and more Computing while

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being sustainable accelerated Computing

25:44

is a dramatic speed up over general

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purpose Computing and in every single

25:50

industry we engage and I'll show you

25:53

many the impact is dramatic but in no

25:57

industry is a more important than our

25:59

own the industry of using simulation

26:03

tools to create

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products in this industry it is not

26:08

about driving down the cost of computing

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it's about driving up the scale of

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computing we would like to be able to

26:15

simulate the entire product that we do

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completely in full Fidelity completely

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digitally and essentially what we call

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digital twins we would like to design it

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build it

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simulate it operate it completely

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digitally in order to do that we need to

26:36

accelerate an entire industry and today

26:40

I would like to announce that we have

26:42

some Partners who are joining us in this

26:44

journey to accelerate their entire

26:46

ecosystem so that we can bring the world

26:50

into accelerated Computing but there's a

26:54

bonus when you become accelerated your

26:57

INF infrastructure is cou to gpus and

27:01

when that happens it's exactly the same

27:04

infrastructure for generative

27:06

Ai and so I'm just delighted to announce

27:10

several very important Partnerships

27:12

there are some of the most important

27:13

companies in the world ansis does

27:16

engineering simulation for what the

27:17

world makes we're partnering with them

27:20

to Cuda accelerate the ancis ecosystem

27:23

to connect Anis to the Omniverse digital

27:26

twin incredible the thing that's really

27:29

great is that the install base of

27:30

Invidia GPU accelerated systems are all

27:32

over the world in every cloud in every

27:35

system all over Enterprises and so the

27:38

app the applications they accelerate

27:40

will have a giant installed base to go

27:42

serve end users will have amazing

27:44

applications and of course system makers

27:46

and csps will have great customer

27:50

demand

27:52

synopsis synopsis is nvidia's literally

27:56

first software partner they were there

27:58

in very first day of our company

28:00

synopsis revolutionized the chip

28:02

industry with highlevel design we are

28:05

going to Cuda accelerate synopsis we're

28:08

accelerating computational lithography

28:11

one of the most important applications

28:13

that nobody's ever known about in order

28:16

to make chips we have to push

28:18

lithography to the Limit Nvidia has

28:20

created a library domain specific

28:22

library that accelerates computational

28:25

lithography incredibly once we can

28:29

accelerate and software Define all of

28:31

tsmc who is announcing today that

28:34

they're going to go into production with

28:35

Nvidia kitho once is software defined

28:38

and accelerated the next step is to

28:41

apply generative AI to the future of

28:43

semiconductor manufacturing pushing

28:45

geometry even

28:48

further Cadence builds the world's

28:51

essential Ed and SDA tools we also use

28:54

Cadence between these three companies

28:56

ansis synopsis and Cadence

28:58

we basically build Nvidia together we

29:01

are cud to accelerating Cadence they're

29:04

also building a supercomputer out of

29:06

Nvidia gpus so that their customers

29:09

could do fluid Dynamic simulation at a

29:12

100 a thousand times scale

29:16

basically a wind tunnel in real time

29:19

Cadence Millennium a supercomputer with

29:21

Nvidia gpus inside a software company

29:24

building supercomputers I love seeing

29:26

that building k co-pilots together

29:29

imagine a

29:31

day when Cadence could synopsis ansis

29:35

tool providers would offer you AI

29:38

co-pilots so that we have thousands and

29:41

thousands of co-pilot assistants helping

29:43

us design chips Design Systems and we're

29:46

also going to connect Cadence digital

29:48

twin platform to Omniverse as you could

29:50

see the trend here we're accelerating

29:53

the world's CAE Eda and SDA so that we

29:57

could create our future in digital Twins

30:00

and we're going to connect them all to

30:01

Omniverse the fundamental operating

30:04

system for future digital

30:06

twins one of the industries that

30:09

benefited tremendously from scale and

30:11

you know you all know this one very well

30:14

large language

30:15

models basically after the Transformer

30:17

was

30:18

invented we were able to scale large

30:21

language models at incredible rates

30:24

effectively doubling every six months

30:27

now how is it possible possible that by

30:29

doubling every six months that we have

30:31

grown the industry we have grown the

30:33

computational requirements so far and

30:36

the reason for that is quite simply this

30:38

if you double the size of the model you

30:40

double the size of your brain you need

30:41

twice as much information to go fill it

30:44

and so every time you double your

30:48

parameter count you also have to

30:50

appropriately increase your training

30:53

token count the combination of those two

30:56

numbers becomes the computation scale

30:59

you have to

31:00

support the latest the state-of-the-art

31:02

open AI model is approximately 1.8

31:06

trillion parameters 1.8 trillion