Key insights

• Next Wave of AI and Robotics

  • 🌊 The next wave of AI involves physical AI and robotics, which requires three types of computers: AI computer, autonomous processor, and simulation engine.
  • 🏗️ Integration of AI with Omniverse and Siemens' industrial metaverse enables sophisticated digital twins for heavy industries.
  • 🤖 NVIDIA is developing robotics and self-driving car technology, including the Jetson as a robotics computer and the Isaac Perceiver for robots' perception and manipulation.
  • 🤖🚀 Advancing human-like robots with the Groot model and envisioning a new Industrial Revolution powered by AI and robotics.

• AI Microservices and Partnership Leveraging

  • 📟 NVIDIA is creating AI microservices called NIMs for various applications, and major companies like SAP, ServiceNow, Cohesity, Snowflake, and NetApp are leveraging them with support from Dell.

• Omniverse Digital Twin Technology

  • 🌐 Omniverse digital twin technology is transforming industries with AI, generative models, and Nvidia Inference Microservices (NIMs).
  • ⚙️ Use cases include manufacturing, weather forecasting, healthcare, and drug discovery.
  • 🌦️ NVIDIA's Cordi model enables high-resolution weather forecasting and prediction with significant speed and energy efficiency gains.
  • 🤖 NVIDIA Inference Microservices (NIMs) provide pre-trained models packaged into digital containers for easy integration and operation.

• Partnerships and Anticipation for Blackwell

  • 🤝 NVIDIA partners like AWS, Google, Oracle, and Microsoft are gearing up for the Blackwell GPU platform, signifying industry-wide anticipation and readiness for the product.
  • 🌟 Blackwell's exceptional performance in inference for large language models compared to Hopper is highly anticipated.

• NVIDIA's Blackwell GPU Platform

  • 💻 NVIDIA's GPU platform, Blackwell, features advanced interconnected chips and innovations like the second-generation Transformer engine.
  • 🔗 The fifth-generation MV link with faster computation in the network is introduced for efficient synchronization and collective operations among GPUs.
  • 🔲 Blackwell processor offers self-testing reliability, secure AI capabilities, high-speed data compression, and generative AI features.
  • 🔁 The Envy link switch scales GPU computation and allows for massive AI training at lower power consumption and cost.

• Accelerated Computing Impact

  • ⚡ Accelerated computing is crucial for scaling and sustainability in various industries.
  • 🔄 The impact of accelerated computing on the industry of simulation tools and digital twins is significant.
  • 🔢 The growth and computational requirements of large language models are driving advancements in accelerated computing.

Q&A

• How is NVIDIA advancing robotics and AI for the future?

  NVIDIA is integrating design tools with Omniverse, developing robotics and self-driving car technology, creating Jetson as a robotics computer, introducing Isaac Perceiver for robots' perception and manipulation, and advancing human-like robots with the Groot model. This aligns with their vision of a new Industrial Revolution powered by AI and robotics, with Omniverse as the digital twin platform for the future of robotics.

• What is the next wave of AI that NVIDIA is focusing on, and how is it related to digital twin technology?

  The next wave of AI involves physical AI and robotics, requiring the integration of AI with digital twin technology. NVIDIA is envisioning sophisticated digital twins for heavy industries, enabled by integrating AI with Omniverse and Seimens' industrial metaverse, providing data interoperability and physics-based rendering.

• What are NVIDIA Nims and which major companies are leveraging them?

  NVIDIA is creating AI microservices called Nims that can be optimized and packaged for various applications. Major companies like SAP, ServiceNow, Cohesity, Snowflake, and NetApp are leveraging Nvidia's Nims with support from Dell to build chatbots, AI co-pilots, and smart databases.

• How is NVIDIA's Omniverse digital twin technology being applied in manufacturing?

  Omniverse digital twin technology is used in manufacturing for layout optimization, real-time operation monitoring, and ensuring accuracy of physical builds to avoid costly change orders. It has reduced end-to-end cycle times by 50% and defect rates by 40% in manufacturing operations.

• In what industries is NVIDIA's Omniverse digital twin technology making an impact?

  NVIDIA's Omniverse digital twin technology is transforming manufacturing, weather forecasting, healthcare, and drug discovery with AI, generative models, and NVIDIA Inference Microservices (NIMs). It is enhancing operations, reducing cycle times and defect rates, and revolutionizing areas such as drug discovery and weather forecasting.

• How does Blackwell compare to Hopper in terms of inference for large language models?

  Blackwell, with its trillion parameter generative AI capabilities, greatly outperforms Hopper in terms of inference for large language models like chatbots. This makes it a highly anticipated product with industry-wide readiness among NVIDIA's partners such as AWS, Google, Oracle, and Microsoft.

• What are the features of the Blackwell processor introduced by NVIDIA?

  The Blackwell processor offers self-testing reliability, secure AI capabilities, high-speed data compression, generative AI features, and the Envy link switch for scaling GPU computation to enable massive AI training at lower power consumption and cost.

• What are the key features of NVIDIA's GPU platform, Blackwell?

  NVIDIA's GPU platform, Blackwell, is designed for AI supercomputers and features advanced interconnected chips. It includes innovations like the second-generation Transformer engine for automatic rescaling and a fifth-generation MV link for efficient synchronization and collective operations among GPUs.

• What is the significance of accelerated computing in various industries?

  Accelerated computing is crucial for scaling and sustainability in various industries. It enables faster data processing, which is especially beneficial for AI-related tasks and complex computational processes.

• 00:28 Nvidia CEO discusses the impact of accelerated computing, AI, and partnerships with industry leaders to drive innovation. The talk emphasizes the significance of accelerated computing in various industries and the development of digital twins. Partnerships with industry leaders to accelerate their ecosystems are also announced.
• 31:19 NVIDIA has developed Blackwell, a powerful GPU platform with advanced interconnected chips, created for AI supercomputers. It includes innovations like the second-generation Transformer engine and a faster MV link for efficient computation and synchronization.
• 47:44 Nvidia introduces the Blackwell processor with self-testing reliability, secure AI capabilities, high-speed data compression, and generative AI features. The Envy link switch scales GPU computation and allows for massive AI training at lower power consumption and cost.
• 01:01:31 NVIDIA is focusing on expanding and scaling up computation for training Next Generation models, particularly in the area of inference for large language models like chatbots. Blackwell, with its trillion parameter generative AI capabilities, greatly outperforms Hopper in terms of inference, making it a highly anticipated product. NVIDIA's partners, including AWS, Google, Oracle, and Microsoft, are gearing up for Blackwell, signifying industry-wide anticipation and readiness for the product.
• 01:14:15 Nvidia's Omniverse digital twin technology is transforming manufacturing, weather forecasting, healthcare, and drug discovery with AI, generative models, and Nvidia Inference Microservices (NIMs).
• 01:28:14 Nvidia is creating AI microservices called Nims that can be optimized and packaged for various applications. These Nims can be used to build chatbots, AI co-pilots, and smart databases, and are being leveraged by major companies like SAP, ServiceNow, Cohesity, Snowflake, and NetApp with support from Dell.
• 01:39:56 The next wave of AI involves physical AI and robotics, which requires three types of computers: AI computer, autonomous processor, and simulation engine. The integration of AI with Omniverse and Seimens' industrial metaverse enables sophisticated digital twins for heavy industries, providing data interoperability and physics-based rendering.
• 01:54:51 Nvidia is integrating design tools with Omniverse, developing robotics and self-driving car technology, creating Jetson as a robotics computer, and introducing Isaac Perceiver for robots' perception and manipulation. They're also advancing human-like robots with the Groot model, and envisioning a new Industrial Revolution powered by AI and robotics, as well as offering Omniverse as the digital twin platform for the future of robotics.