4) H100 GPU features a 2nd-generation secure Multi-Instance GPU with capabilities extended by 7x the previous version. NVIDIA claims the new GPU architecture provides approximately 3x more compute capacity and nearly 2x more memory bandwidth per GPU instance than A100.
6) The H100 GPUs come with the 4th generation NVLink that delivers a 3x bandwidth increase on all-reduce operations and a 50% general bandwidth increase over the prior generation NVLink. NVIDIA’s NVLink is a direct GPU-to-GPU interconnect that scales multi-GPU input/output within the server. 8) The H100 GPU is optimized for transformers. The inbuilt transformer engine uses a combination of software and custom NVIDIA Hopper Tensor Core technology explicitly designed to accelerate transformer model training and inference. Transformers represent the latest developments in neural networks architecture for training computer vision and conversational AI models. They are used in large language models such as Google’s BERT and OpenAI’s GPT-3.
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