NVIDIA H100, H200, GH100, GH200
NVIDIA GH100 and GH200
The terms "GH100" and "GH200" are associated with NVIDIA's integrated solutions that combine GPUs with CPUs for enhanced computing capabilities. Specifically, the "GH" prefix refers to a combination of NVIDIA's Grace CPU and Hopper GPU architectures, thus forming a "Grace Hopper" superchip or system.
NVIDIA H100 GPU
The NVIDIA H100 Tensor Core GPU is based on the Hopper architecture and is designed to accelerate AI and HPC workloads. It features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision, offering significant performance improvements over its predecessors. The H100 is optimized for large language models (LLMs) and comes with 188GB of HBM3 memory, supporting PCIe Gen5 for high-speed communication[1].
NVIDIA H200 GPU
The NVIDIA H200 Tensor Core GPU represents an advancement over the H100, designed to further accelerate generative AI and HPC workloads. It introduces HBM3e memory, which is 50% faster than HBM3, providing 141GB of memory at 4.8 terabytes per second. This represents a substantial increase in memory capacity and bandwidth, making the H200 particularly suitable for the next generation of AI and computational challenges[2][3].
The main differences between the H100 and H200 GPUs lie in their architecture enhancements, memory capacity, and bandwidth, with the H200 offering significant improvements in these areas. When integrated with the Grace CPU in a GH200 configuration, these GPUs are expected to deliver unparalleled performance for demanding computational tasks[1][2][3].
In summary, while the GH100 and GH200 terms refer to integrated solutions or systems that combine NVIDIA's H100 and H200 GPUs with Grace CPUs. These integrated solutions are designed to meet the growing demands of AI and HPC workloads, offering significant performance improvements and efficiency gains.
Citations:
[1] https://exittechnologies.com/blog/gpu/nvidia-dgx-gh200-vs-h100-a-comprehensive-comparison/
[2] https://nvidianews.nvidia.com/news/nvidia-supercharges-hopper-the-worlds-leading-ai-computing-platform
[3] https://www.hpcwire.com/2023/11/13/h100-fading-nvidia-touts-2024-hardware-with-h200/
[4] https://morethanmoore.substack.com/p/nvidia-launches-h200-more-grace-hopper
[5] https://gpus.llm-utils.org/dgx-gh200-vs-gh200-vs-h100/
[6] https://www.tomshardware.com/news/nvidia-h200-gpu-announced
[7] https://developer.nvidia.com/blog/announcing-nvidia-dgx-gh200-first-100-terabyte-gpu-memory-system/
[8] https://en.wikipedia.org/wiki/Hopper_(microarchitecture)
[9] https://www.videogamer.com/tech/ai/nvidia-dgx-gh200-vs-h100/
[10] https://www.tomshardware.com/news/nvidia-reveals-gh200-grace-hopper-gpu-with-141gb-of-hbm3e