H200 doubles inference performance compared to H100 when handling LLMs such as Llama2 70B. Get the highest throughput at the lowest TCO when deployed at scale for a massive user base.
NVIDIA H200 GPUs feature the Transformer Engine with FP8 precision, which provides up to 5X faster training and 5.5X faster fine-tuning over A100 GPUs for large language models.
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.
Built with 80 billion transistors using a cutting-edge TSMC 4N process custom tailored for NVIDIA’s accelerated compute needs, H100 features major advances to accelerate AI, HPC, memory bandwidth, interconnect, and communication at data center scale.
HASHCAT ensures your valuable compute resources are only used to run value-adding activities like training, inference, and data processing. This means you’re getting the best performance out of your resources without sacrificing performance.
