Key insights

• Nvidia Isaac Groot and Project Digits

  • 🤖 Nvidia Isaac Groot provides tools for humanoid robot developers.
  • 🚀 Project Digits (DGX-1) revolutionized AI computing, designed as an out-of-the-box AI supercomputer for researchers and startups.

• Industrial Autonomy and AV Technology

  • 🏭 Nvidia's collaboration with partners aims to revolutionize industrial autonomy and autonomous vehicles.
  • 🚗 Synthetic data generation using Omniverse and Cosmos helps to scale training data for autonomous vehicles.
  • 🔬 The focus is on creating physically accurate and plausible data for training AI models in the AV industry.

• Nvidia Cosmos and Physical AI Models

  • 🏗️ Nvidia Cosmos is a platform for developing physical AI models with advanced features.
  • 🔄 The platform is open-source and has the potential to revolutionize industrial digitalization and robotics.

• AI Agents and Generative APIs

  • ⚗️ AI agents assist in drug design and vulnerability scanning.
  • 💻 NVIDIA plans to bring AI to PCs and create generative APIs for various applications.
  • 🌍 Introducing Nvidia Cosmos, a world Foundation model for physical AI.

• Agentic AI Development and Collaboration

  • 👨‍💻 Nvidia is developing agentic AI to work with software developers.
  • 🤖 Introducing Nvidia Nims, AI microservices, and Nvidia Nemo, a digital employee onboarding system.
  • 💡 AI agents are expected to revolutionize coding and are seen as a multi-trillion dollar opportunity.

• Scaling Laws and AI Chip Development

  • 💻 Scaling laws driving demand for computational power and NVIDIA's Blackwell chip.
  • 💰 Improved performance and reduced costs with the Blackwell chip.
  • 🔢 Creating giant chip for training larger AI models and enhancing capabilities.

• RTX Blackwell Family and AI Integration

  • 🖥️ Introduction of the RTX Blackwell family with AI integration and improved performance.
  • 🔋 Significant energy efficiency achieved through AI-driven pixel generation and rendering.
  • 📈 Discussion of three scaling laws in AI: training scaling, post-training scaling, and test-time scaling.

• AI Applications and Transformations

  • ⚙️ Intelligence is created through tokens, enabling various applications and transformations.
  • 🔄 Evolution of AI from perception AI to physical AI, with a focus on machine learning and Transformers.
  • 🎮 Real-time computer graphics and ray tracing advancements made possible by artificial intelligence.

Q&A

• What is Nvidia Isaac Groot and Project Digits (DGX-1)?

  Nvidia Isaac Groot is a platform for synthetic motion generation in robotics using simulation, imitation learning, and AI, powered by the AI supercomputer Project Digits (DGX-1) with a new chip GB 110, providing tools for humanoid robot developers and revolutionizing AI computing.

• What technology does Nvidia use for autonomous vehicles (AVs)?

  Nvidia uses NVIDIA DGX for training AI models, Omniverse for testing and generating synthetic data, and DRIVE AGX for in-car computation to revolutionize industrial autonomy and advance autonomous vehicles, focusing on safety, scalability, and the future potential of general robotics.

• What is the purpose of Nvidia Cosmos?

  Nvidia Cosmos is a world Foundation model development platform for physical AI, offering features like auto-regressive and diffusion-based models, advanced tokenizers, and an AI-accelerated data pipeline, aiming to revolutionize industrial digitalization and robotics through its integration with Omniverse.

• What are Nvidia Nims and Nvidia Nemo?

  Nvidia Nims are AI microservices, and Nvidia Nemo is a digital employee onboarding system developed by Nvidia to work with software developers.

• What is Nvidia's goal with the development of the Blackwell chip?

  Nvidia's goal is to create a giant chip with exceptional computational power to meet the massive demand for computational power in advanced AI technologies, including training larger models and improving AI capabilities.

• What are the three scaling laws in AI discussed by Nvidia?

  Nvidia discusses three scaling laws in AI: training scaling, post-training scaling, and test-time scaling, and explains post-training techniques including reinforcement learning, human feedback, and synthetic data generation.

• What is the new kind of factory creating intelligence through tokens?

  Nvidia is creating intelligence through tokens, enabling various applications and transformations such as transforming words into knowledge, teaching robots to move, predicting dangers, and enabling high-performance computing.

• 00:06 A new kind of factory is creating intelligence through tokens, opening up endless possibilities like transforming words into knowledge, teaching robots to move, helping predict dangers, and enabling high-performance computing. Nvidia's CEO discusses the evolution of AI, the impact of Transformers, and the role of GeForce in revolutionizing AI. The announcement of the next Generation RTX Blackwell family is made.
• 15:53 Nvidia introduces the RTX Blackwell family with AI integration, claiming twice the performance of the last generation and significant energy efficiency. The company also discusses three scaling laws in AI: training scaling, post-training scaling, and test-time scaling.
• 26:16 The development of advanced AI technologies is driving a massive demand for computational power and NVIDIA's Blackwell chip is designed to meet this demand by improving performance and reducing costs. The goal is to create a giant chip with exceptional computational power to train larger models and improve AI capabilities. This advancement in AI technology is crucial for enterprises and test time scaling, especially in the context of semantic AI systems.
• 36:30 Nvidia is creating agentic AI to work alongside software developers, with AI microservices called Nvidia Nims and a digital employee onboarding system called Nvidia Nemo. They have developed the Llama neotron Suite of open models and are collaborating with partners like service now, sap, Codium, and others to integrate their AI technologies into various industries. AI agents are expected to revolutionize coding and are seen as a multi-trillion dollar opportunity.
• 45:34 AI agents help researchers design drugs, analyze large volumes of video, and monitor processes. NVIDIA aims to bring AI to PCs and develop generative APIs for 3D, language, and sound. They introduce Nvidia Cosmos, a world Foundation model for physical AI.
• 55:42 Nvidia Cosmos is a world Foundation model development platform aimed at advancing physical AI, offering features like auto-regressive and diffusion-based models, advanced tokenizers, and an AI-accelerated data pipeline. It is open-source and aims to revolutionize industrial digitalization and robotics through its integration with Omniverse.
• 01:06:26 Nvidia, together with partners, is revolutionizing industrial autonomy and advancing autonomous vehicles using NVIDIA DGX for training, Omniverse for testing, generating synthetic data, and DRIVE AGX for in-car computation. The AV industry is here, and there's a focus on safety, scalability, and the future potential of general robotics.
• 01:17:36 Nvidia presents Isaac Groot, a platform for synthetic motion generation in robotics using simulation, imitation learning, and AI, powered by the AI supercomputer Project Digits (DGX-1) with a new chip GB 110.