NVIDIA H100 Tensor Core GPU Accelerator, 80GB HBM2e, H100 SXM

H100 features fourth-generation Tensor Cores and the Transformer Engine with FP8 precision that provides up to 9X faster training over the prior generation for mixture-of-experts (MoE) models. The combination of fourth-generation NVlink, which offers 900 gigabytes per second (GB/s) of GPU-to-GPU interconnect; NVLINK Switch System, which accelerates communication by every GPU across nodes; PCIe Gen5; and NVIDIA Magnum IO™ software delivers efficient scalability from small enterprises to massive, unified GPU clusters.

Deploying H100 GPUs at data center scale delivers outstanding performance and brings the next generation of exascale high-performance computing (HPC) and trillion-parameter AI within the reach of all researchers.

The NVIDIA data center platform consistently delivers performance gains beyond Moore’s Law. And H100’s new breakthrough AI capabilities further amplify the power of HPC+AI to accelerate time to discovery for scientists and researchers working on solving the world’s most important challenges.

H100 triples the floating-point operations per second (FLOPS) of double-precision Tensor Cores, delivering 60 teraFLOPS of FP64 computing for HPC. AI-fused HPC applications can leverage H100’s TF32 precision to achieve one petaFLOP of throughput for single-precision, matrix-multiply operations, with zero code changes.

H100 also features DPX instructions that deliver 7X higher performance over NVIDIA A100 Tensor Core GPUs and 40X speedups over traditional dual-socket CPU-only servers on dynamic programming algorithms, such as Smith-Waterman for DNA sequence alignment.

IT managers seek to maximize utilization (both peak and average) of compute resources in the data center. They often employ dynamic reconfiguration of compute to right-size resources for the workloads in use.

Second-generation Multi-Instance GPU (MIG) in H100 maximizes the utilization of each GPU by securely partitioning it into as many as seven separate instances. With confidential computing support, H100 allows secure end-to-end, multi-tenant usage, ideal for cloud service provider (CSP) environments.

H100 with MIG lets infrastructure managers standardize their GPU-accelerated infrastructure while having the flexibility to provision GPU resources with greater granularity to securely provide developers the right amount of accelerated compute and optimize usage of all their GPU resources.