SANTA CLARA, Calif., March 22, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced its first Arm® Neoverse™-based discrete data center CPU designed for AI infrastructure and high performance computing, providing the highest performance and twice the memory bandwidth and energy-efficiency compared to today’s leading server chips.
The NVIDIA Grace™ CPU Superchip comprises two CPU chips connected, coherently, over NVLink®-C2C, a new high-speed, low-latency, chip-to-chip interconnect.
The Grace CPU Superchip complements NVIDIA’s first CPU-GPU integrated module, the Grace Hopper Superchip, announced last year, which is designed to serve giant-scale HPC and AI applications in conjunction with an NVIDIA Hopper™ architecture-based GPU. Both superchips share the same underlying CPU architecture, as well as the NVLink-C2C interconnect.
“A new type of data center has emerged — AI factories that process and refine mountains of data to produce intelligence,” said Jensen Huang, founder and CEO of NVIDIA. “The Grace CPU Superchip offers the highest performance, memory bandwidth and NVIDIA software platforms in one chip and will shine as the CPU of the world’s AI infrastructure.”
Introducing NVIDIA’s CPU Platform
Created to provide the highest performance, Grace CPU Superchip packs 144 Arm cores in a single socket, offering industry-leading estimated performance of 740 on the SPECrate®2017_int_base benchmark.(1) This is more than 1.5x higher compared to the dual-CPU shipping with the DGX™ A100 today, as estimated in NVIDIA’s labs with the same class of compilers.(2)
Grace CPU Superchip also provides industry-leading energy efficiency and memory bandwidth with its innovative memory subsystem consisting of LPDDR5x memory with Error Correction Code for the best balance of speed and power consumption. The LPDDR5x memory subsystem offers double the bandwidth of traditional DDR5 designs at 1 terabyte per second while consuming dramatically less power with the entire CPU including the memory consuming just 500 watts.
The Grace CPU Superchip is based on the latest data center architecture, Arm®v9. Combining the highest single-threaded core performance with support for Arm’s new generation of vector extensions, the Grace CPU Superchip will bring immediate benefits to many applications.
The Grace CPU Superchip will run all of NVIDIA’s computing software stacks, including NVIDIA RTX™, NVIDIA HPC, NVIDIA AI and Omniverse. The Grace CPU Superchip along with NVIDIA ConnectX®-7 NICs offer the flexibility to be configured into servers as standalone CPU-only systems or as GPU-accelerated servers with one, two, four or eight Hopper-based GPUs, allowing customers to optimize performance for their specific workloads while maintaining a single software stack.
Designed for AI, HPC, Cloud and Hyperscale Applications
The Grace CPU Superchip will excel at the most demanding HPC, AI, data analytics, scientific computing and hyperscale computing applications with its highest performance, memory bandwidth, energy efficiency and configurability.
The Grace CPU Superchip’s 144 cores and 1TB/s of memory bandwidth will provide unprecedented performance for CPU-based high performance computing applications. HPC applications are compute-intensive, demanding the highest performing cores, highest memory bandwidth and the right memory capacity per core to speed outcomes.
NVIDIA is working with leading HPC, supercomputing, hyperscale and cloud customers for the Grace CPU Superchip. Both it and the Grace Hopper Superchip are expected to be available in the first half of 2023.
To learn more about the Grace CPU Superchip, watch Huang’s GTC 2022 keynote. Register for GTC for free to attend sessions with NVIDIA and industry leaders.
About NVIDIA
NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others. More information at https://nvidianews.nvidia.com/
