NVIDIA H100 Tensor Core GPU PCIe 80GB HBM3

The NVIDIA H100 PCIe Tensor Core GPU is a high-performance AI accelerator based on NVIDIA Hopper architecture. Equipped with 80GB high-speed HBM3 memory with ECC error correction and up to 2000 GB/s memory bandwidth, it handles extremely large foundation models and massive datasets efficiently.

It introduces native FP8 Tensor Core acceleration, delivering huge throughput for generative AI workloads. MIG (Multi-Instance GPU) capability allows splitting one H100 into up to seven isolated GPU instances, enabling flexible resource sharing for multiple teams and small inference jobs.This PCIe variant uses PCIe 5.0 x16 interface, passive cooling and dual-slot FHFL form factor. It can work standalone or pair a second H100 via NVLink bridge for combined memory pool. Compared with the SXM version, the PCIe form factor has better compatibility with mainstream off-the-shelf rack servers and lower deployment threshold.

Widely deployed for large language model training, batch LLM inference, computational fluid dynamics, quantum simulation, weather modeling and advanced data analytics. It is the preferred upgrade option after A100 for system integrators, research institutes and private AI clusters.