Key insights

• ⚙️ Moore's Law has benefited general purpose computing for 30 years, but CPU scaling has reached its limit.
• 🚀 Accelerated computing is the future, impacting industries from graphics to quantum computing and AI.
• 📊 Acceleration libraries cover various domains, leading to a shift from coding to machine learning.
• 🔩 Applied architecture to different domains, resulting in a reinvention of the computing stack.
• 💻 NVIDIA's Blackwell system enables data study at enormous scales and facilitates various data translations and representations.
• 🔌 NVIDIA's Blackwell system consists of 144 GPUs connected using advanced technologies and switches.
• 🔋 NVIDIA's Blackwell system is incredibly powerful with high computing density and a focus on learning larger and smarter models.
• 📈 Increased demand for computational resources due to larger AI models and advanced technologies.

Q&A

• What AI initiatives is Nvidia focused on, and what technologies are they leveraging?

  Nvidia is focused on creating agentic AI models to enhance employee productivity using the Nvidia Nemo suite of libraries and Nims API. Furthermore, they are committed to developing physical AI by leveraging DGX computers, the Omniverse platform, and AGX Jetson for training and applying AI models in robotic systems.

• How is AI technology shaping the demand for computational resources?

  The advancement of AI technology has led to increased demand for computational resources, mainly due to the use of larger models, multimodality, reinforcement learning, and data generation capabilities. NVIDIA is at the forefront of addressing this demand by developing platforms like NVIDIA AI Enterprise and NVIDIA Omniverse, which leverage large language models and fundamental AI capabilities for tasks such as marketing, customer service, and chip design.

• What are the key features of Nvidia's Blackwell system?

  NVIDIA's Blackwell system boasts incredible computing density and focuses on learning larger and smarter models. It operates based on a new scaling law for thinking, impacting the quality of answers during inference as computation must increase by a factor of four every year due to the growth in data and model size.

• What is NVIDIA's Blackwell system and how does it work?

  NVIDIA's Blackwell system is a powerful computing system that enables data study at enormous scales and facilitates various data translations and representations. It consists of 144 GPUs connected using advanced technologies and switches. The translations and representations cover diverse tasks from language translations to pixel and video processing.

• What are the key areas impacted by accelerated computing?

  Accelerated computing is impacting various domains, including graphics, quantum computing, and AI. It has reached a tipping point by enabling the reinvention of the computing stack with a significant shift from traditional coding to machine learning.

• What is Moore's Law and how has it impacted computing?

  Moore's Law has driven the improvement of general-purpose computing over 30 years by doubling the number of transistors on a microchip every two years, leading to increased computing power. However, CPU scaling, a product of Moore's Law, has now reached its limit, paving the way for accelerated computing to become the future of various industries and applications.

• 00:00 General purpose computing has been improved by Moore's Law for 30 years, but now CPU scaling has reached its limit. Accelerated computing is the future, impacting various industries and applications, from graphics to quantum computing and AI.
• 03:16 The architecture has been applied to various domains, accelerating computing has reached a tipping point, and there has been a significant shift from coding to machine learning, resulting in the reinvention of the computing stack.
• 06:50 NVIDIA's Blackwell system enables data study at enormous scales and facilitates various data translations and representations. It consists of 144 GPUs connected together using advanced technologies and switches.
• 10:06 Nvidia's Blackwell system is incredibly powerful with high computing density and a focus on learning larger and smarter models. There's a new scaling law for thinking, which affects the quality of answers during inference.
• 12:33 AI technology has advanced leading to increased demand for computational resources, and NVIDIA is developing platforms such as NVIDIA AI Enterprise and NVIDIA Omniverse that leverage large language models and fundamental AI capabilities for various tasks like marketing, customer service, and chip design.
• 15:26 Nvidia is developing agentic AI models to enhance employee productivity, using Nvidia Nemo suite of libraries and Nims API. They are also focused on creating physical AI by leveraging DGX computers, Omniverse, and AGX Jetson for training and applying AI models in robotic systems.