NVIDIA H100
NVIDIA H100: Extraordinary Performance, Scalability, and Security
Powering next-generation AI and HPC workloads for data centers.
NVIDIA H100 Tensor Core GPU
The NVIDIA H100 Tensor Core GPU delivers groundbreaking performance built on the advanced NVIDIA Hopper™ architecture. Ideal for accelerating complex AI workloads, H100 significantly speeds up large language models (LLMs) by up to 30X, featuring dedicated hardware such as the revolutionary Transformer Engine optimized for trillion-parameter AI models.
Transformational AI Training
NVIDIA H100 Enterprise-Ready GPU
The NVIDIA H100 Tensor Core GPU delivers groundbreaking performance built on the advanced NVIDIA Hopper™ architecture.
NVIDIA H100 Specifications
Specification | H100 SXM | H100 NVL |
FP64 | 34 teraFLOPS | 30 teraFLOPS |
FP64 Tensor Core | 67 teraFLOPS | 60 teraFLOPS |
FP32 | 67 teraFLOPS | 60 teraFLOPS |
TF32 Tensor Core | 989 teraFLOPS | 835 teraFLOPS |
BFLOAT16 Tensor Core | 1,979 teraFLOPS | 1,671 teraFLOPS |
FP16 Tensor Core | 1,979 teraFLOPS | 1,671 teraFLOPS |
FP8 Tensor Core | 3,958 teraFLOPS | 3,341 teraFLOPS |
INT8 Tensor Core | 3,958 TOPS | 3,341 TOPS |
GPU Memory | 80GB | 94GB |
GPU Memory Bandwidth | 3.35TB/s | 3.9TB/s |
Max Thermal Design (TDP) | Up to 700W (configurable) | 350-400W (configurable) |
Multi-Instance GPU | Up to 7 MIGs @10GB each | Up to 7 MIGs @12GB each |
Form Factor | SXM | PCIe dual-slot air-cooled |
Interconnect | NVLink: 900GB/s; PCIe Gen5: 128GB/s | NVLink: 600GB/s; PCIe Gen5: 128GB/s |
Server Options | NVIDIA HGX H100 with 4/8 GPUs; NVIDIA DGX H100 | Partner Systems with 1-8 GPUs |
NVIDIA AI Enterprise | Optional Add-on | Included |
Applications & Use Cases
The NVIDIA H100 Tensor Core GPU is a powerhouse for demanding AI workloads, deep learning, and high-performance computing (HPC) applications. With its advanced Tensor Cores and high memory bandwidth, it’s ideal for training and deploying large language models (LLMs), generative AI, scientific simulations, and data-intensive analytics.
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