NVIDIA H100 Tensor Core GPU

The NVIDIA H100 Tensor Core GPU is built on NVIDIA’s Hopper architecture and delivers a transformative leap in AI, high-performance computing (HPC), and data center scale workloads. It features fourth-generation Tensor Cores and an integrated Transformer Engine that dynamically combines FP8 and FP16 precision to optimize speed without sacrificing accuracy. This enables up to a 9× boost in training performance and up to 30× faster inference compared to the prior generation.

With up to 80 GB of HBM2e memory and memory bandwidth of around 2 TB/s, the H100 can feed data to its cores at extraordinary rates. Its CUDA cores (14,592), support for FP64, FP32, TF32, BFLOAT16, INT8 and FP8, along with the Tensor Core enhancements, make it ideal for versatile compute workloads. It supports Multi-Instance GPU (MIG) partitioning, allowing it to be securely and dynamically divided into several isolated GPU slices, each treating as an individual GPU instance — improving utilization and flexibility.

Connectivity is likewise state of the art, with NVLink (4th generation) and PCIe Gen5 support for ultra-high throughput between GPUs and system components. The H100 also incorporates advanced security features including confidential computing and hardware-enforced isolation between instances, enabling shared infrastructure deployment while protecting sensitive workloads.
In sum, the NVIDIA H100 stands out as a powerhouse accelerator that unifies ultimate performance, architectural efficiency, secure virtualization, and scalability — making it a centerpiece for next-generation AI and HPC deployments.