Why Choose NVIDIA H100 GPU?
The NVIDIA H100 GPU securely accelerates diverse workloads from small enterprise workloads, to exascale HPC, to trillion parameter AI models. Some of the key factors which make it the go-to choice for your workloads are given below.
1. Transformer Engine
The Transformer Engine uses software and Hopper Tensor Core technology designed to accelerate training for models built from the transformer. Hopper Tensor Cores can apply mixed FP8 and FP16 precisions, resulting in significantly accelerated AI calculations for transformers.
2. NVLink Switch System:
The NVLink Switch System enables rapid scaling of multi-GPU input/output (IO) across numerous servers, achieving impressive speeds of up to 900 gigabytes per second. This cutting-edge system supports clusters of up to 256 H100s, providing a remarkable 9 times higher bandwidth compared to InfiniBand HDR on the NVIDIA Ampere architecture.
3. NVIDIA Confidential Computing
NVIDIA H100 comes with a built-in security feature of Confidential Computing. Users can protect the integrity and confidentiality of their data and application in use while accessing the accelerations of H100 GPUs.
4. DPX Instructions
Hopper’s DPX instructions accelerate dynamic programming algorithms by around seven times as compared to NVIDIA Ampere architecture GPUs. This leads to significantly faster times in disease diagnosis, real-time routing optimizations, and graph analytics.