The NVIDIA H200 Tensor Core GPU supercharges generative AI and HPC workloads with game-changing performance and memory capabilities. The H200’s larger and faster memory fuels the acceleration of generative AI and LLMs while advancing scientific computing for HPC workloads.

This datasheet details the performance and product specifications of the NVIDIA H200 Tensor Core GPU.

Discover NVIDIA H200 Tensor Core GPU, a powerful chip that supercharges generative AI and high-performance computing (HPC) workloads in data centers. The H200’s larger and faster memory fuels the acceleration of generative AI and LLMs while advancing scientific computing for HPC workloads.

2023年11月13日 · The updated H200 features 141GB total of HBM3e memory, running at around 6.25 Gbps effective, for 4.8 TB/s of total bandwidth per GPU across the six HBM3e stacks. That's a massive...

The NVIDIA H200 is designed for advanced workloads in AI and high-performance computing (HPC). Artificial intelligence. You can use it to train and infer large language models (LLMs) like GPT and BERT. The H200 gives 2X the speed even for models with 100 Billion+ parameters.

The H200 NVL is a professional graphics card by NVIDIA, launched on November 18th, 2024. Built on the 5 nm process, and based on the GH100 graphics processor, the card does not support DirectX. Since H200 NVL does not support DirectX 11 or DirectX 12, it might not be able to run all the latest games.

The NVIDIA H200 NVL supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3e, the H200's larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.

2023年11月13日 · Nvidia is introducing a new top-of-the-line chip for AI work, the HGX H200. The new GPU upgrades the wildly in demand H100 with 1.4x more memory bandwidth and 1.8x more memory capacity,...

2025年3月10日 · The NVIDIA H200 is an incredibly potent GPU for AI training and inference, and is a notable upgrade to the NVIDIA H100. We recommend using it for all Deep Learning related tasks, and its evident that it is already playing a major role in the ongoing AI revolution.

Both H100 and H200 are based on Hopper architecture, but H200 offers nearly double the memory capacity and performance as compared to H100. This article explores technical and performance differences between H100 and H200 so you …