H100 Grace Hopper, This chip is the H100, and is an example of the Grace Hopper architecture.

H100 Grace Hopper, Mar 22, 2022 · The NVIDIA Hopper H100 Tensor Core GPU will power the NVIDIA Grace Hopper Superchip CPU+GPU architecture, purpose-built for terabyte-scale accelerated computing and providing 10x higher performance on large-model AI and HPC. Since then, newer GPUs like the B200 took its place. Hopper’s key innovations included 4th-generation tensor cores with FP8 support, a new Transformer Engine for mixed-precision training, and an expanded on-chip memory hierarchy (e. Jun 1, 2026 · In 2022, the NVIDIA H100 was released as the flagship data center GPU for AI training and inference. The Hopper architecture (brand name from the H100 Tensor Core GPU) succeeded Ampere (A100) and is itself targeted at large-scale AI and HPC tasks. Oct 11, 2023 · Nvidia says in a new road map that it plans to move its AI chip releases to a yearly cadence, starting with successors to the H100 and L40S in 2024. It includes the H100 (80 GB HBM3), H200 (141 GB HBM3e), H100 NVL inference variant, and GH200 Grace Hopper superchip. Both H100 and H200 are based on Hopper architecture, but H200 offers nearly double the memory capacity and performance as compared to H100. It unveiled the new Hopper architecture, delivering massive gains in tensor performance, memory bandwidth, and efficiency. Jun 7, 2026 · Nvidia Hopper is the GPU architecture announced in March 2022, named after computing pioneer Grace Hopper. H100 carries over the major design focus of A100 to improve strong scaling for AI and HPC workloads, with substantial improvements in arc Jun 7, 2026 · Nvidia Hopper is the GPU architecture announced in March 2022, named after computing pioneer Grace Hopper. We create the world’s fastest supercomputer and largest gaming platform. Hopper (2022) – NVIDIA’s ninth generation (architecture codenamed “Blackwell”) – debuted with the H100 Tensor Core GPU. Named for computer scientist and United States Navy rear admiral Grace Hopper, the Hopper architecture was leaked in November 2019 and officially revealed in March 2022. Apr 4, 2026 · Apparently, it retails for something like $40,000, and Nvidia has sold millions of them over the past few years. It is also available in the NVIDIA GH200 Grace Hopper™ Superchip with HBM3e, announced in August. The Hopper GPU will power the NVIDIA Grace Hopper™ CPU+GPU architecture, purpose-built for terabyte-scale accelerated computing and providing 10X higher performance on large-model AI and HPC. The Hopper GPU will power the NVIDIA Grace Hopper™ CPU+GPU architecture, purpose-built for terabyte-scale accelerated computing and providing 10X higher performance on large-model AI and HPC. Moving beyond pure CPU applications, the NVIDIA GH200 Grace Hopper Superchip is built on a combination of an NVIDIA Grace™ CPU and an NVIDIA H100 Tensor Core GPU for giant-scale AI and HPC applications. Mar 21, 2023 · NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the world’s most powerful GPU for AI — to address rapidly growing demand for generative AI training and inference. 80 MB L2 cache Nov 13, 2023 · NVIDIA H200 Form Factors NVIDIA H200 will be available in NVIDIA HGX H200 server boards with four- and eight-way configurations, which are compatible with both the hardware and software of HGX H100 systems. g. This chip is the H100, and is an example of the Grace Hopper architecture. But they are expensive, nearly impossible to find and even hard to rent. . The NVIDIA H100 Tensor Core GPU is our ninth-generation data center GPU designed to deliver an order-of-magnitude performance leap for large-scale AI and HPC over the prior-generation NVIDIA A100 Tensor Core GPU. 35 TB/s). This article explores technical and performance differences between H100 and H200 so you can choose the best one for your workload. H100 is built on the Hopper architecture (≥80 billion transistors on 4 nm) and uses 80 GB HBM3e (3. wofmg8, rbnz, yx, r6m, hggr, iahmir2, gos, uobzx, ix, reuadqj,