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GPU Cloud
NVIDIA H100 GPU
The NVIDIA H100 is a datacenter GPU built on the Hopper architecture, designed for AI training and inference at scale.
Definition
The NVIDIA H100 Tensor Core GPU is the ninth-generation datacenter GPU from NVIDIA, built on the Hopper architecture. It delivers up to 4x faster training and 30x faster inference compared to the A100. The H100 features 80GB HBM3 memory, 3.35 TB/s memory bandwidth, and supports FP8, FP16, BF16, FP32, and FP64 precision. For AI workloads, the H100 is the gold standard for large language model training, with clusters of H100s powering models like GPT-4, LLaMA, and Claude. In Morocco, Harch Corp deploys H100 clusters across 5 carbon-aware hubs, offering sovereign AI infrastructure for North African and European clients.
Related Keywords
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Related Terms
NVIDIA H200 GPU
The NVIDIA H200 is the successor to the H100, featuring 141GB HBM3e memory for even larger AI model training.
NVIDIA A100 GPU
The NVIDIA A100 is a datacenter GPU built on the Ampere architecture, widely used for AI training and HPC.
GPU Cloud
GPU cloud is a cloud computing service that provides access to graphics processing units (GPUs) on-demand for AI, ML, and HPC workloads.