NVIDIA H100 SXM architecture and memory — deep dive

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The NVIDIA H100 SXM datasheet shows a Hopper-class card with 80 GB of HBM3 memory, 3,350 GB/s memory bandwidth, 990 TFLOPS of FP16 compute, 67 TFLOPS of FP32 compute, and a 700W thermal envelope. It reached market in 2023.

Those specs make it capable of handling the full modern AI stack: pre-model training moderate-sized models, fine-tuning most LLMs, running production real-time serving at useful batch sizes, and accelerating diffusion / image generation workloads.

Ready to deploy? Latitude.sh has NVIDIA H100 SXM from $1.57/hr. Vultr and Vast.ai also carry it.