Unveiling NVIDIA's Revolutionary Data Center Technology for 2022-23

Unveiling NVIDIA's Revolutionary Data Center Technology for 2022-23

Table of Contents

1. Introduction
2. Keynote Overview
   • Inspirational Message
   • Hardware Announcements
3. Nvidia Hopper: The Next Generation Hardware
   • Hopper Design and Features
   • Groundbreaking Inventions of Hopper
   • Performance Improvements
   • The Transformer Engine
   • Confidential Computing and Secure MIGs
4. Nvidia DGX H100: The New AI Computing System
   • H100 Features and Specifications
   • Scalability with NV-Link
   • Building an AI Computing Infrastructure with DGX
5. Nvidia Grace: The First Data Center CPU
   • Features and Benefits of Grace
   • Memory Coherent Chip-to-Chip MV-Link Interconnect
   • Configurations for Different Workloads
6. Nvidia NV-Link Chip-to-Chip Interconnect
   • Enabling Customizations and Integrations
7. Other Announcements
   • NVIDIA OVX for Omniverse
   • Spectrum 4 Switch for Data Centers
   • Hyperion 9 for Cars
   • Claro Holoscan for Medical Grade Applications
   • Jetson Orin Developer Kits
8. Conclusion

The Next Generation Hardware Unveiled at NVIDIA GTC 2022

NVIDIA GTC 2022, one of the most highly anticipated conferences in the tech world, recently took place and brought with it a Wave of exciting announcements from NVIDIA CEO Jensen Huang. In his inspiring keynote speech, Huang unveiled a slew of new hardware that is set to revolutionize the industry in the coming years. From the powerful NVIDIA Hopper to the innovative NVIDIA DGX H100 and the groundbreaking NVIDIA Grace CPU, there was no shortage of game-changing technology on display.

Keynote Overview

Huang's keynote address began with an uplifting and aspirational message, setting the tone for the rest of the keynote. He then proceeded to showcase the new hardware that NVIDIA has developed, starting with the highly anticipated NVIDIA Hopper.

Nvidia Hopper: The Next Generation Hardware

Hopper, also known as the H100, is NVIDIA's latest GPU design specifically engineered for Scale-up and scale-out infrastructures. With its impressive bandwidth, memory, and networking capabilities, the H100 is poised to revolutionize the way we think about graphics processing. As the first PCI Express Gen 5 GPU and the first GPU to feature HBM3 memory, the H100 boasts unprecedented performance and throughput.

The H100 Package consists of the GPU die itself, surrounded by six HBM3 memory packages. A silicon interposer sits beneath the memory packages, providing the necessary connections between the memory and the GPU die. This unique packaging design allows for maximum efficiency and performance, enabling the H100 to sustain an astonishing 40 terabits per Second of I/O bandwidth.

Groundbreaking Inventions of Hopper

The H100 introduces several groundbreaking inventions that push the boundaries of AI processing. One of the most notable innovations is the inclusion of the Transformer Engine, which combines a new tensor Core with software that utilizes FP8 and FP16 numerical formats. This powerful combination allows for dynamic processing of layers in a transformer network, significantly enhancing AI performance.

The H100 also offers improved performance in other key areas, such as artificial intelligence processing and confidential computing. With four petaflops of FP8 performance, two petaflops of FP16 performance, and one petaflop of TF-32 performance, the H100 delivers unparalleled processing power. Additionally, its integration of confidential computing and secure MIGs ensures data privacy and security, even in multi-tenant cloud environments.

Nvidia DGX H100: The New AI Computing System

Another major announcement during the keynote was the introduction of the Nvidia DGX H100, an advanced AI computing system Based on the H100 GPU. Designed to deliver exceptional performance and efficiency, the DGX H100 combines the power of multiple H100 GPUs to Create a single, massive GPU that boasts 32 petaflops of AI processing power.

The DGX H100 can be configured with multiple H100 SXMs, allowing for flexible scaling and customization. By connecting up to 32 DGX units using NVLink, Nvidia's high-speed interconnect technology, users can create a DGX super Pod with up to 8,192 H100 GPUs. This scalability ensures that the DGX H100 is suitable for a wide range of AI workloads, from small-scale projects to large-Scale AI factories.

Nvidia Grace: The First Data Center CPU

In addition to the H100 and DGX H100, Jensen Huang also introduced Nvidia Grace, the company's first data center CPU. Designed to process large amounts of data efficiently, Grace boasts 144 CPU cores and one terabyte per second of memory bandwidth. With its superior performance and energy efficiency, Grace is set to outperform competing CPUs by a wide margin.

The key enabling technology behind Grace is the memory-coherent NVLink chip-to-chip interconnect, which allows for direct communication between the CPU and GPU. This high-bandwidth interconnect significantly enhances performance and enables a greater degree of customization and integration.

Other Announcements

In addition to the Hopper, DGX H100, and Grace, Nvidia also unveiled several other exciting innovations. These include Nvidia NV-Link chip-to-chip interconnect technology, which enables customization and integration with other technologies; Nvidia OVX for Omniverse, a networking platform that combines AI computing and synchronized network systems; Spectrum 4 Switch, a high-performance data center switch with advanced features such as fair bandwidth distribution and congestion control; Hyperion 9, an advanced autonomous vehicle computing system with enhanced safety features; Claro Holoscan, a medical-grade scanning system designed for maximum safety and security; and Jetson Orin Developer Kits, which provide developers with the tools they need to create cutting-edge AI applications.

Conclusion

NVIDIA GTC 2022 was a culmination of years of research and development, resulting in the unveiling of several groundbreaking hardware innovations. From the powerful Hopper GPU to the advanced DGX H100 and the state-of-the-art Grace CPU, NVIDIA has once again solidified its position as a leader in the technology industry. With these new advancements, the future of AI computing looks brighter than ever.