Based on the NVIDIA Hopper™ architecture, NVIDIA H100 features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision that provides up to 4x faster training over the prior generation for GPT-3 (175B) models.
NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s) – that’s nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and large language models, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.
Our enterprise level infrastructure seamlessly supports NVIDIA H100 and H200 GPUs of any cluster size. Whether you need a small cluster or a large-scale deployment, we can ensure reliable, high-performance computing to meet your specific needs.
Large clusters of NVIDIA H100 and H200 GPUs are available where you need them, thanks to our extensive infrastructure. We guarantee low latency and high availability, enabling your enterprise to achieve optimal performance worldwide.
We ensure that our platform, products, and services meet various global compliance, privacy, and security requirements, covering areas such as server availability, data protection, and privacy. Our commitment to privacy and security frameworks across the industry demonstrates our commitment to protecting customer data.
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