Key insights

• Future of AI, Robotics, and Computing Systems

  • 🌐 Next wave of AI and robotics involving physical AI and major computing systems
  • 🤖 Integration of CAD and design tools with Omniverse for robotics and automotive applications
  • 🤖 Introduction of Nvidia's advancements in humanoid robotics and the significance of Omniverse

• Nvidia's AI Technologies and Partnerships

  • 🤖 Introduction to AI API, Nims, and Nemo microservice
  • 👥 Nvidia's collaboration with major companies for AI development
  • 🏭 Partnership with Dell for building AI Factories

• Nvidia's Impact on Various Industries

  • ☁️ Utilization of Nvidia's GPUs in the cloud for token generation and inference
  • 🔍 Innovations to optimize computing for large language models
  • 🏭 Revolutionizing manufacturing, weather prediction, and drug discovery using AI and Omniverse technologies

• Blackwell Chip and AI Computation

  • 🔬 Features of the Blackwell chip and its performance compared to Hopper
  • 🔄 Scalability and efficiency improvements through the MVLink switch

• Advancements in AI Training and Computing Systems

  • ⚙️ Challenges of training AI models and addressing computational demands
  • 🧩 Introduction of the Blackwell chip for advanced computing capabilities
  • 🔧 Enhancements in the computing system for faster and more efficient computing

• Nvidia's Journey and Accelerated Computing

  • 🚀 Introduction to Nvidia's journey from 1993 to the present
  • 💼 Importance and impact of accelerated computing across industries
  • 🤝 Partnerships with key companies to accelerate their ecosystem and infrastructure
  • 🧠 Role of generative AI, software-defined infrastructure, and digital twins
  • 💻 Significance of large language models and computational requirements for training

Q&A

• What advancements and partnerships are Nvidia focusing on in robotics and automotive applications?

  Nvidia is integrating CAD and design tools with Omniverse, enabling robotic advancements and automotive applications. They also announced the adoption of their AV computer by BYD, the launch of Jetson Thor, and the introduction of an advanced SDK called Isaac Perceiver. Nvidia is also working on the next generation of humanoid robotics and introduces Omniverse as the digital platform for the robotics world.

• What is Nvidia's vision for the next wave of AI and robotics?

  The next wave of AI involves physical AI and three major computing systems: AI computer, Jetson for autonomous processing, and Omniverse for simulation. The integration of these technologies aims to revolutionize heavy industry and manufacturing processes, supported by Nvidia's partnership with Seaman's.

• What are the key components of Nvidia's AI Foundry and their applications?

  Nvidia's AI Foundry comprises AI API for AI services, Nims for software development and AI co-pilots, and Nemo microservice for customizing and fine-tuning AI. These have varied applications, including reindexing proprietary data into a vector database and the creation of co-pilots and chatbots in collaboration with major companies.

• In what industries have Nvidia's AI and Omniverse technologies shown significant impact?

  Nvidia's AI and Omniverse technologies have revolutionized manufacturing, weather prediction, and drug discovery. They have introduced generative AI for predicting extreme weather, virtual screening for new medicines, and offering pre-trained models for various industries.

• How is Blackwell significant for industry partners such as AWS, Google, Oracle, and Microsoft?

  Major partners like AWS, Google, Oracle, and Microsoft are preparing for Blackwell, reflecting significant industry-wide anticipation due to its exceptional inference capabilities for trillion parameter generative AI.

• What are the features and capabilities of the Blackwell chip?

  NVIDIA introduces the Blackwell chip with extensive self-testing, encryption, compression capabilities for secure and efficient AI computation. Notably, it offers exceptional FPA performance, supports generative AI, and enables massive scalability through the MVLink switch.

• How has Nvidia addressed the challenges of training AI models?

  The talk covers the challenges and developments in addressing the computational demands, including the need for larger GPUs, the invention of the Blackwell chip, and advancements in supercomputers for efficient AI training and processing.

• What are the roles of generative AI, software-defined infrastructure, and digital twins?

  The video explains the significance of generative AI, software-defined infrastructure, and digital twins, highlighting their pivotal roles in shaping the future of computing and industry operations.

• What partnerships were introduced to drive accelerated computing?

  Nvidia unveils partnerships with key companies aimed at accelerating their ecosystem and infrastructure, contributing to the world's transition into accelerated computing.

• What is accelerated computing and its significance?

  The video emphasizes the importance and impact of accelerated computing across industries, showcasing its role in driving advancements in AI, software-defined infrastructure, digital twins, and large language models.

• What is Nvidia's journey from 1993 to the present?

  The video gives an overview of Nvidia's journey from 1993 to the present, highlighting the company's evolution in accelerated computing and its impact on various industries.

• 00:21 Nvidia's CEO reflects on the company's journey and introduces accelerated computing partnerships. The video emphasizes the impact of accelerated computing in various industries and unveils partnerships to drive the world into accelerated computing. It highlights the significance of generative AI, software-defined infrastructure, digital twins, and large language models.
• 21:05 The talk covers the need for larger GPUs, the invention of the Blackwell chip, and the advancements in the computing system to enhance speed and performance for AI training and processing.
• 37:37 NVIDIA introduces the Blackwell chip with extensive self-testing, encryption, and compression capabilities for secure and efficient AI computation. The chip offers 2.5 times FPA performance compared to Hopper, enables a generative AI era, and supports massive scalability through the MVLink switch.
• 51:23 Nvidia's GPUs in the cloud are being used for token generation and inference, but the challenge lies in optimizing computing for large language models. Blackwell, designed for trillion parameter generative AI, promises exceptional inference capabilities, making it a groundbreaking product for Nvidia. Major partners like AWS, Google, Oracle, and Microsoft are gearing up for Blackwell, signifying significant industry-wide anticipation.
• 01:04:07 Nvidia's AI and Omniverse technologies have been pivotal in revolutionizing manufacturing, weather prediction, and drug discovery. They have introduced generative AI to predict extreme weather, enable virtual screening for new medicines, and offer pre-trained models for various industries.
• 01:18:02 AI API as a simple interface for AI services, Nvidia's Nims for software development and AI co-pilots, Nemo microservice for customizing and fine-tuning AI, three pillars of Nvidia's AI Foundry: Nims, Nemo microservice, and dgx Cloud, use of AI to understand and reindex proprietary data into a vector database, collaboration with major companies to build co-pilots and chatbots, partnership with Dell for building AI Factories.
• 01:29:42 The next wave of AI and robotics will involve physical AI and three major computing systems: AI computer, Jetson for autonomous processing, and Omniverse for simulation. The integration of AI, Omniverse, and digital twins will revolutionize heavy industry and manufacturing processes. Nvidia's partnership with Seaman's accelerates the implementation of AI and Omniverse in industrial operations.
• 01:44:32 Nvidia is integrating CAD and design tools with Omniverse, enabling robotic advancements and automotive applications. They are also announcing the adoption of their AV computer by BYD, the launch of Jetson Thor, and an advanced SDK called Isaac Perceiver, as well as their work on the next generation of humanoid robotics. Nvidia's Project Groot is a general purpose foundation model for humanoid robot learning, empowering AI-powered robotics. This is all facilitated by Nvidia's innovative technology and platforms including Omniverse and GPT-3. They also emphasize the importance of robotics in the future and introduce Omniverse as the digital platform for the robotics world.