NVIDIA H200 Tensor Core GPU
Supercharging AI and HPC workloads.
NVIDIA H200 Tensor Core GPU
The GPU for Generative AI and HPC
The NVIDIA H200 Tensor Core GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3e, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.
Experience Next-Level Performance
Llama2 70B Inference
1.9X
Faster
GPT-3 175B Inference
1.6X
Faster
High-Performance Computing
110X
Faster
Higher Performance With Larger, Faster Memory
Based on the NVIDIA Hopper architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s) —that’s nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and LLMs, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.
Preliminary specifications. May be subject to change.
Llama2 13B: ISL 128, OSL 2K | Throughput | H100 SXM 1x GPU BS 64 | H200 SXM 1x GPU BS 128
GPT-3 175B: ISL 80, OSL 200 | x8 H100 SXM GPUs BS 64 | x8 H200 SXM GPUs BS 128
Llama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32.
Unlock Insights With High-Performance LLM Inference
In the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.
The H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.
Supercharge High-Performance Computing
Memory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.
Preliminary specifications. May be subject to change.
HPC MILC- dataset NERSC Apex Medium | HGX H200 4-GPU | dual Sapphire Rapids 8480
HPC Apps- CP2K: dataset H2O-32-RI-dRPA-96points | GROMACS: dataset STMV | ICON: dataset r2b5 | MILC: dataset NERSC Apex Medium | Chroma: dataset HMC Medium | Quantum Espresso: dataset AUSURF112 | 1x H100 SXM | 1x H200 SXM.
Preliminary specifications. May be subject to change.
Llama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32
Reduce Energy and TCO
With the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.
Unleashing AI Acceleration for Mainstream Enterprise Servers with H200 NVL
The NVIDIA H200 NVL is the ideal choice for customers with space constraints within the data center, delivering acceleration for every AI and HPC workload regardless of size. With a 1.5X memory increase and a 1.2X bandwidth increase over the previous generation, customers can fine-tune LLMs within a few hours and experience LLM inference 1.8X faster.
NVIDIA H200 Tensor Core GPU
| Form Factor | H200 SXM | H200 NVL |
|---|---|---|
| FP64 | 34 TFLOPS | 34 TFLOPS |
| FP64 Tensor Core | 67 PFLOPS | 67 TFLOPS |
| FP32 | 67 TFLOPS | 67 TFLOPS |
| TF32 Tensor Core | 989 TLOPS | 989 TFLOPS |
| BFLOAT16 Tensor Core | 1979 TFLOPS | 1979 TFLOPS |
| FP16 Tensor Core | 1979 TFLOPS | 1979 TFLOPS |
| FP8 Tensor Core | 3958 TFLOPS | 3958 TFLOPS |
| INT 8 Tensor Core | 3958 TFLOPS | 3958 TFLOPS |
| GPU Memory | 141GB | 141GB |
| GPU Memory Bandwidth | 4.8TB/s | 4.8TB/s |
| Decoders | 7 NVDEC 7 JPEG |
7 NVDEC 7 JPEG |
| Confidential Computing | Supported | Supported |
| Max Thermal Design Power (TDP) | Up to 700W(configurable) | Up to 600W(configurable) |
| Multi-Instance GPUs | Up to 7 MIGs @16.5GB each | Up to 7 MIGS @16.5GB each |
| Form Factor | SXM | PCIe |
| Interconnect | NVIDIA NVLink 900 GB/s PCIe Gen5: 128GB/s |
2- or 4-way NVIDIA NVLink bridge: 900GB/s PCIe Gen5: 128GB/s |
| Server Options | NVIDIA HGX H200 partner and NVIDIA-Certified Systems with 4 or 8 GPUs | NVIDIA MGX H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs |
| NVIDIA AI Enterprise | Add-on | Included |
