Key insights

• Burgeoning Robotics and New Industrial Revolution

  • 🚗 Integrating design tools with Omniverse and developing robotics stack for automotive and other industries
  • 🤖 Venturing into humanoid robotics and leading a new industrial revolution with generative AI and new compute capabilities

• AI API and Robotics Integration

  • 📱 Future software interface with Nims optimized by Nvidia and Nemo microservice for Nims curation and evaluation
  • 🏗️ Nvidia AI Foundry's three pillars: AI technology, modification tools, and infrastructure
  • 🤖 Next wave of AI robotics understanding the physical world and heavy industry starting as a digital twin
  • 🤝 Nvidia's partnership with Siemens integrates Omniverse into industrial workflows for data interoperability and collaboration

• Omniverse and Generative AI Revolution

  • ⚙️ Omniverse digital twin enhances efficiency and reduces cycle times and defect rates in manufacturing
  • ⚗️ Generative AI brings understanding, prediction, and generation in various domains like weather forecasting and healthcare
  • ⚙️ Nvidia's NIM simplifies the integration and operation of AI models in diverse workflows

• Blackwell Chip and Next Generation Models

  • 🔋 Development of larger GPUs for complex AI training and the Blackwell high-performance platform
  • 💻 Introduction of the Blackwell chip with self-testing reliability, secure AI capabilities, and high-speed compression engine
  • 💡 Efforts to reduce cost and energy while expanding computational capabilities for training Next Generation models
  • 🔄 Blackwell vastly improves inference capabilities for large language models and generative AI

• NVIDIA's Journey and Impact

  • 🚀 Nvidia's journey since 1993 and key milestones
  • 💼 Accelerated computing and its impact on various industries
  • 🔄 Importance of digital twins and generative AI
  • 🤝 Partnerships with companies like Ansys, Synopsis, and Cadence to accelerate entire ecosystems
  • 📊 Scaling large language models and the computational requirements

Q&A

• What robotics technologies is Nvidia developing, and what impact do they foresee?

  Nvidia is developing robotics stacks, including Jetson, Isaac Perceiver, Isaac Manipulator, and humanoid robotics with Project Groot, aiming to lead a new industrial revolution with generative AI and advanced computing capabilities.

• What is the future strategy for AI robotics, and how is Nvidia contributing to it?

  The future of AI robotics involves understanding the physical world and utilizing digital twins, where Nvidia is contributing through developments like AI computers, autonomous processors, simulation engines, and partnerships with Siemens for industrial workflow integration.

• What are Nvidia's initiatives and services for AI development and integration?

  Nvidia offers NIM microservices for AI model integration, the AI Foundry with three pillars, and collaborates with industry leaders to build co-pilots for diverse platforms, along with Dell's role in providing AI factories for large-scale enterprise implementations.

• What are the capabilities and applications of Omniverse digital twin and generative AI?

  Omniverse digital twin enhances efficiency in manufacturing, while generative AI enables advancements in weather forecasting, healthcare, and drug discovery, shaping new paradigms in various domains.

• How does Nvidia's Blackwell chip compare to previous models, and which cloud providers support it?

  Nvidia's Blackwell chip outperforms previous models like Hopper, and it is supported by major cloud service providers such as AWS, Google, Oracle, and Microsoft, signifying strong industry endorsement and partnership.

• What are the improvements offered by Nvidia's Blackwell chip?

  Nvidia's Blackwell chip enhances performance for training and inference, supporting advanced features like self-testing reliability, secure AI capabilities, and high-speed compression engines, ultimately aiming to reduce costs and energy consumption while enhancing computational capabilities.

• How does Nvidia's partnership strategy accelerate entire ecosystems?

  Nvidia collaborates with companies like Ansys, Synopsis, and Cadence to drive innovation, improve computational capabilities, and foster industry-wide advancements, particularly within the semiconductor manufacturing landscape.

• Why are digital twins and generative AI important?

  Digital twins and generative AI play a crucial role in optimizing processes, predicting outcomes, and creating new solutions across industries, including manufacturing, weather forecasting, and healthcare.

• What is accelerated computing, and how does it impact industries?

  Accelerated computing uses GPUs to enhance computational performance, significantly benefiting industries such as AI, healthcare, manufacturing, and robotics by enabling faster processing and advanced capabilities.

• What is the history of Nvidia?

  Nvidia was founded in 1993 and has achieved key milestones in developing high-performance computing technologies for various industries since its inception.

• 00:29 The video segment features Jensen Huang, CEO of Nvidia, discussing the company's journey, the impact of accelerated computing, and partnerships to accelerate various industries. The focus is on creating digital twins, generative AI, and the implications for semiconductor manufacturing.
• 21:10 NVIDIA developed larger GPUs to handle complex AI training, created Blackwell, a high-performance platform, and introduced new features including a second-generation transformer engine and faster MV link for synchronization.
• 37:45 NVIDIA introduces the Blackwell chip with self-testing reliability, secure AI capabilities, and high-speed compression engine. The chip offers significant performance improvements for training and inference, and is part of a larger system with unprecedented capabilities. The goal is to drive down cost and energy while scaling up computation for training the Next Generation models.
• 51:31 Nvidia's latest GPU, Blackwell, vastly improves inference capabilities for large language models, enabling interactive and high throughput token generation. The chip's performance is better than Hopper's and is supported by partnerships with major cloud service providers like AWS, Google, Oracle, and Microsoft.
• 01:04:15 Nvidia's Omniverse digital twin improves efficiency, reduces cycle times, and defect rates in manufacturing. The generative AI Revolution enables understanding, prediction, and generation across various domains, including weather forecasting and healthcare. Nvidia's biion Nemo fuels a new paradigm in drug discovery. The Nvidia inference microservice (NIM) simplifies the integration and operation of AI models in diverse workflows.
• 01:18:10 AI API is a future software interface that employs Nims optimized by Nvidia; Nims form the basis for creating chatbots and are central to software development; Nvidia's Nemo microservice assists in curating, fine-tuning, and evaluating Nims; Nvidia AI Foundry offers three pillars: AI technology, modification tools, and infrastructure; Nims have the potential to understand and reindex proprietary information into vector databases; Collaboration with industry leaders to build co-pilots for various platforms is underway; Dell is poised to provide AI factories for large-scale enterprise implementations.
• 01:29:51 The next wave of AI robotics will understand the physical world, requiring three computers: AI computer for video processing & human examples, autonomous processor for physical world, and simulation engine for reinforcement learning. The future of heavy industry starts as a digital twin, enabling AI agents, robots, workers, and infrastructure to interact autonomously. Nvidia's partnership with Siemens integrates Omniverse into industrial workflows, enabling data interoperability and collaboration for productivity.
• 01:44:41 Nvidia is integrating design tools with Omniverse for incredible workflows. They are developing robotics stack for automotive and other industries, including self-driving car applications and manufacturing robotics. The company is creating Jetson for robotics, Isaac Perceiver for advanced perception, and Isaac Manipulator for manipulation. They are also venturing into humanoid robotics with Project Groot, a general-purpose foundation model for robot learning. Nvidia is leading a new industrial revolution with generative AI and new compute capabilities.