GTC March 2024 Keynote with NVIDIA CEO Jensen Huang

18 Mar 2024123:05

TLDRNvidia's GTC conference showcased a vision of a new industrial revolution driven by accelerated computing and generative AI. The company unveiled Blackwell, a powerful platform for AI, and discussed the rise of AI factories. Nvidia's commitment to creating a digital twin of the Earth for weather prediction and their advancements in healthcare, automotive, and robotics were highlighted. The potential of AI to transform various industries and the role of Omniverse as the operating system for the robotics world were emphasized.


  • 🚀 Nvidia is引领一个新的工业革命,通过加速数据中心和推动生成性AI的发展。
  • 🧠 所谓的生成性AI,是指使用计算机生成以前不存在的软件,这类软件正在创造新的行业类别。
  • 🌐 Nvidia的Omniverse平台是一个数字孪生世界,用于模拟和训练AI模型,以便它们能够理解和适应物理世界。
  • 🤖 Nvidia正在开发用于机器人和自动驾驶汽车的AI技术,包括新的处理器和软件开发工具包。
  • 🔧 Nvidia的Blackwell平台是一个强大的计算系统,旨在支持大规模的AI模型训练和推理。
  • 📈 Nvidia的发展历程展示了其在计算机图形学、物理学和人工智能领域的交叉创新。
  • 🔄 Nvidia的MV Link Switch是一种高速网络设备,能够实现GPU之间的高效通信。
  • 🧱 Nvidia正在与各行各业的公司合作,将AI技术应用于各种实际问题,如天气预报、药物发现和工业自动化。
  • 🛠️ Nvidia提供了一套完整的工具和服务,包括AI模型、优化工具和基础设施,以帮助企业和研究人员开发和部署AI应用。
  • 🔧 Nvidia的Jetson系列是为机器人和边缘计算设计的低功耗高性能计算平台。
  • 🎮 Nvidia的AI技术不仅仅是为了游戏和娱乐,它们正在被用于解决现实世界中的复杂问题,并推动科技进步。

Q & A

  • What is the significance of the year 1993 in Nvidia's journey?

    -1993 marks the founding year of Nvidia, which sets the starting point for the company's significant developments and contributions to the computing and AI industry.

  • What does the CUDA computing model represent in Nvidia's history?

    -CUDA is a revolutionary computing model introduced by Nvidia in 2006, which enabled the use of GPUs for general-purpose computing, leading to significant advancements in AI and deep learning.

  • What is the role of the DGX supercomputer in the field of AI?

    -The DGX supercomputer, introduced by Nvidia, is the world's first AI supercomputer, designed to handle complex AI computations and accelerate research and development in the field of artificial intelligence.

  • How does the Transformer model impact the capabilities of AI?

    -The Transformer model, which arrived in 2017, significantly advanced the capabilities of AI by enabling larger and more sophisticated language models, leading to improved performance in tasks such as natural language processing and understanding.

  • What is the significance of generative AI as an emerging industry?

    -Generative AI represents a new industry because it involves creating software that was previously non-existent, using computers to produce new types of content like tokens at a large scale, which is a departure from traditional software development methods.

  • How does Nvidia's Omniverse platform intersect with the development of AI?

    -Omniverse is Nvidia's open platform for 3D design and simulation, which integrates with AI to enable realistic virtual world simulations, enhancing AI's understanding of physics and animation through robotics and contributing to the development of generative AI.

  • What is the purpose of the Blackwell GPU in Nvidia's product lineup?

    -The Blackwell GPU is a next-generation computing platform designed by Nvidia to handle the increasing computational demands of AI and machine learning, offering higher performance and energy efficiency compared to its predecessors.

  • How does Nvidia's partnership with other companies contribute to the advancement of AI?

    -Nvidia collaborates with various companies across different industries to accelerate the development and adoption of AI technologies, such as through CUDA acceleration of ecosystems, creating digital twins, and integrating AI into various applications and services.

  • What are the implications of the Envy Link Switch for Nvidia's networking capabilities?

    -The Envy Link Switch, with its 50 billion transistors and high-speed MV links, allows for unprecedented inter-GPU communication, effectively creating a coherent network where multiple GPUs can operate as one giant GPU, significantly enhancing the company's networking and computational capabilities.

  • How does Nvidia's focus on generative AI shape the future of content creation?

    -Nvidia's focus on generative AI is set to transform content creation by enabling AI to generate new content based on context and user preferences, reducing the need for pre-recorded content and leading to more personalized and efficient information delivery.



🎶 Visionary AI and its Impact on Various Fields

The paragraph discusses the transformative role of AI as a visionary tool, illuminating various fields such as understanding galaxies, weather events, and assisting in everyday tasks. It highlights AI's ability to guide, heal, teach, and even entertain, emphasizing its multifaceted impact on society. The narrative is set against the backdrop of a conference where the potential of AI is being celebrated and explored, with a focus on Nvidia's role in advancing AI through deep learning and computational innovations.


🌐 Diverse Industries Converging Through Accelerated Computing

This segment emphasizes the wide-ranging impact of accelerated computing, highlighting its adoption by non-IT industries to solve complex problems. It underscores the significance of the conference as a gathering of diverse research fields, from climate to radio sciences, aiming to leverage AI for advancements. The speaker reflects on the transformative power of computing in every industry and shares Nvidia's journey, marking key milestones like the invention of Cuda and the development of AI supercomputers.


🚀 The Future of Computing and AI: Nvidia's Role

The paragraph outlines the future of computing, particularly focusing on Nvidia's contributions. It discusses the concept of AI factories, the emergence of generative AI, and the need for larger, more powerful GPUs. The narrative also touches on the importance of simulation tools in product creation and the announcement of partnerships with major companies to accelerate the ecosystem for generative AI. The speaker envisions a future where AI co-pilots assist in designing chips and systems, and where digital twins are commonplace in industry.


💡 The Evolution of AI and the Birth of Generative AI

This section delves into the evolution of AI, from the inception of large language models to the current state of generative AI. It discusses the computational requirements of training such models and the need for more powerful infrastructure. The speaker introduces new advancements like the Blackwell GPU, designed to handle the demands of generative AI, and the Envy link switch, which enables unprecedented inter-GPU communication. The narrative positions generative AI as a new industry, requiring novel software production methods and computational approaches.


🌟 Nvidia's AI Ecosystem and the Path to Blackwell

The speaker discusses Nvidia's AI ecosystem, including partnerships with major companies and the development of the Blackwell platform. It highlights the excitement around Blackwell and its potential to revolutionize AI capabilities. The paragraph also touches on the importance of digital twins in the manufacturing process and the potential for AI to transform data centers into AI factories. The speaker concludes with a reflection on the journey of AI from simple recognition tasks to complex understanding and generation of content.


🤖 Advancements in Robotics and AI Integration

This segment focuses on the next wave of AI in robotics and physical AI systems. It discusses the development of an AI stack for robotics, including the Jetson Thor robotics chip and the Isaac Sim platform for training. The speaker introduces the concept of a digital twin for robotics, enabling the simulation and testing of AI agents in a virtual environment before real-world deployment. The narrative also includes a live demonstration of a digital twin simulation, showcasing the potential for AI to improve efficiency and safety in industrial settings.


🌐 The Impact of AI on Industries and the Future of Work

The speaker discusses the impact of AI on various industries, emphasizing the shift towards generative AI and its potential to create new types of software. It highlights the role of Nvidia's AI technologies in enabling this transition, including the development of the Blackwell platform and the creation of AI microservices. The speaker also touches on the future of work, where AI will be integrated into various aspects of business operations, from design to manufacturing to customer service.


🚀 The Next Generation of Robotics and AI

The speaker introduces the next generation of robotics, focusing on humanoid robots and the technology needed to make them a reality. It discusses the development of foundational models for robot learning, the use of multimodal instructions, and the importance of physical simulation in training AI models. The speaker also presents the Isaac lab and osmo platforms for training and simulation, and the Thor computer designed for AI-powered robots. The narrative concludes with a demonstration of a humanoid robot learning and performing tasks, showcasing the potential of AI in revolutionizing the field of robotics.


🎉 Final Thoughts and the Future of AI and Robotics

In the concluding segment, the speaker summarizes the key points discussed throughout the presentation. It highlights the five key takeaways: the modernization of data centers through accelerated computing, the emergence of generative AI, the new type of software distribution through AI microservices (Nims), and the future of robotics with AI at the core. The speaker emphasizes Nvidia's role in enabling these advancements and the transformative impact they will have on industries and society. The presentation ends with a final message of inspiration and a vision of the future where AI and robotics play a central role in our lives.




Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is central to the discussion of generative AI, AI models, and AI-powered robotics. It is used to describe the technology that enables machines to understand, learn from, and mimic human behavior and decision-making processes.

💡Generative AI

Generative AI refers to AI systems that can create new content, such as text, images, or videos, based on patterns learned from existing data. In the video, generative AI is highlighted as a key driver of a new industrial revolution, where AI is used not just for analyzing data but also for generating new data and content, leading to the creation of new types of software and applications.

💡Digital Twin

A digital twin is a virtual representation or model of a physical object or system. It is used to simulate and analyze the performance of the physical counterpart in a virtual environment. In the video, digital twins are presented as essential tools for designing and testing AI systems, enabling the creation of AI-powered applications and robotics in a simulated environment before real-world deployment.


NVIDIA is a technology company known for its graphics processing units (GPUs) and AI technologies. In the video, NVIDIA is presented as a leader in the development of AI and accelerated computing, providing the hardware and software platforms that enable the creation and deployment of advanced AI models and applications.


A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the context of the video, GPUs are critical components in AI systems, providing the computational power necessary for training and running complex AI models.


Robotics refers to the branch of technology that deals with the design, construction, operation, and use of robots. In the video, robotics is a key area where AI and accelerated computing are being applied, with the development of autonomous systems, self-driving cars, and humanoid robots that can perform tasks and interact with the physical world.

💡Autonomous Systems

Autonomous systems are machines or software that can function without direct human intervention. They are capable of making decisions and performing tasks independently. In the video, autonomous systems are a significant focus, with discussions on how AI and NVIDIA technologies are enabling the development of self-driving cars, robotic manipulators, and other autonomous machines.


Omniverse is a platform developed by NVIDIA that provides a unified, scalable, and open toolset for designing and simulating complex physical and engineering systems. It enables the creation of digital twins, which are virtual replicas of real-world objects and systems, and is used for simulation, collaboration, and AI development.


Jetson is a series of modules and devices designed and manufactured by NVIDIA for use in embedded systems and robotics. It provides the computational capabilities needed for AI processing and machine learning tasks in a small form factor.

💡AI-Enabled Applications

AI-Enabled Applications refer to software programs that utilize artificial intelligence to perform tasks more efficiently, often by learning from data and improving over time. These applications can span a wide range of functions, from data analysis to automation and decision support.


Nvidia's journey since 1993 and its revolutionary computing models like CUDA and DGX

The emergence of generative AI and its impact on creating new industries

Nvidia's partnerships with major companies like Michael Dell, Ansys, Synopsys, and Cadence to accelerate computing

The development of the Blackwell GPU, a revolutionary processor for AI and generative AI

Nvidia's invention of the Transformer engine and its role in AI model training

The significance of the Envy Link Switch and its 50 billion transistors for high-speed GPU communication

The DGX supercomputer and its role in advancing AI capabilities

Nvidia's AI initiatives in healthcare, including the Biion Nemo and MIM services for drug discovery

The introduction of the Nvidia Inference Microservice (NIMS) and its impact on software distribution and AI accessibility

Nvidia's collaboration with companies like AWS, Google, and Microsoft to integrate AI and accelerated computing

The development of AI agents for predicting extreme weather events and the creation of a digital twin of Earth

Nvidia's AI Foundry and its role in creating proprietary AI applications and chatbots for various industries

The potential of humanoid robotics and Nvidia's Project GROOT, a general-purpose foundation model for humanoid robot learning

The integration of Nvidia's technologies in industrial engineering and operations platforms like Siemens Teamcenter

The vision of a future where everything that moves will be robotic, and the role of Omniverse as the digital twin platform for robotics