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Introduction
An Order-of-Magnitude Leap for Accelerated Computing
The NVIDIA H100 GPU delivers exceptional performance, scalability, and security for every workload. Built on the NVIDIA Hopperâ„¢ architecture, the H100 features fourth-generation Tensor Cores and a dedicated Transformer Engine with FP8 precision, accelerating large language models by up to 30X over the prior generation. From enterprise inference to exascale HPC, the H100 is the proven foundation for data center AI.
Built on the NVIDIA Hopper Architecture
The Hopper architecture delivers a massive leap in accelerated computing performance. With fourth-generation NVLink at 900 GB/s, a dedicated Transformer Engine, and support for PCIe Gen5, the H100 powers everything from trillion-parameter models to scientific simulations.
Learn About the Hopper Architecture
Workloads
Securely Accelerate Workloads From Enterprise to Exascale
4Xfaster
AI Training on GPT-3
30Xfaster
AI Inference (Megatron 530B)
7Xfaster
HPC Applications
Up to 4X Higher AI Training on GPT-3
Projected performance subject to change. GPT-3 175B training A100 cluster: HDR IB network, H100 cluster: NDR IB network | Mixture of Experts (MoE) Training Transformer Switch-XXL variant with 395B parameters on 1T token dataset, A100 cluster: HDR IB network, H100 cluster: NDR IB network with NVLink Switch System where indicated.
Transformational AI Training
The H100 features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision, delivering up to 4X faster training over the prior generation for GPT-3 (175B) models. Combined with fourth-generation NVLink at 900 GB/s and NDR InfiniBand networking, the H100 scales efficiently from small enterprise clusters to massive multi-node GPU deployments.
View Training Performance BenchmarksUp to 30X Higher AI Inference Performance on the Largest Models
Megatron chatbot inference (530 billion parameters)
Projected performance subject to change. Inference on Megatron 530B parameter model based chatbot for input sequence length=128, output sequence length=20 | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB
Real-Time Deep Learning Inference
The H100 extends NVIDIA's inference leadership with up to 30X higher performance on the largest models. Fourth-generation Tensor Cores accelerate all precisions — FP64, TF32, FP32, FP16, INT8, and FP8 — reducing memory usage while maintaining accuracy for large language models deployed at scale.
Explore NVIDIA's AI Inference PlatformUp to 7X Higher Performance for HPC Applications
Projected performance subject to change. 3D FFT (4K^3) throughput | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB | Genome Sequencing (Smith-Waterman) | 1 A100 | 1 H100
Exascale High-Performance Computing
The H100 triples the double-precision Tensor Core FLOPS over the prior generation, delivering 60 teraflops of FP64 computing. New DPX instructions provide up to 7X higher performance on dynamic programming algorithms like Smith-Waterman for genomic sequencing and protein structure prediction.
Learn More About High-Performance Computing
Enterprise-Ready: MIG & Confidential Computing
Multi-Instance GPU (MIG) technology lets IT managers partition a single H100 into up to seven isolated GPU instances, maximizing utilization across workloads. The H100 is also the first accelerator with built-in Confidential Computing, providing hardware-based trusted execution environments to protect data and AI models in use.
Learn More About MIG
H100 NVL
Supercharge Large Language Model Inference With H100 NVL
The PCIe-based NVIDIA H100 NVL with NVLink bridge is optimized for LLMs up to 70 billion parameters (Llama 2 70B). With 188GB of combined HBM3 memory across an NVL pair, it delivers up to 5X performance over NVIDIA A100 systems while maintaining low latency in power-constrained, air-cooled data center environments. The H100 NVL is ideal for enterprise rack designs that require flexible GPU configurations without liquid cooling infrastructure.
Server Compatibility
Compatible Dell PowerEdge Servers
Dell PowerEdge XE9680
- Supports 8× H100 SXM5 GPUs via HGX board
- Purpose-built for large-scale Al training
Dell PowerEdge XE7740
- Supports H100 NVL with up to 8 GPUs
- 17th Gen, optimized for dense Al workloads
Dell PowerEdge R770
- H100 NVL compatible, Intel Xeon powered
- 17th Gen 2U enterprise server
Specifications
NVIDIA H100 GPU
| 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 HBM3 | 94GB HBM3 |
| GPU Memory Bandwidth | 3.35 TB/s | 3.9 TB/s |
| Decoders | 7 NVDEC 7 JPEG |
7 NVDEC 7 JPEG |
| Max Thermal Design Power (TDP) | Up to 700W (configurable) | 350–400W (configurable) |
| Multi-Instance GPUs | Up to 7 MIGs @ 10GB each | Up to 7 MIGs @ 12GB each |
| Form Factor | SXM | PCIe Dual-slot air-cooled |
| Interconnect | NVIDIA NVLinkâ„¢: 900GB/s PCIe Gen5: 128GB/s |
NVIDIA NVLink: 600GB/s PCIe Gen5: 128GB/s |
| Server Options | NVIDIA HGX H100 partner and NVIDIA-Certified Systemsâ„¢ with 4 or 8 GPUs NVIDIA DGX H100 with 8 GPUs |
Partner and NVIDIA-Certified Systems with 1–8 GPUs |
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