TESLA H800
An Order-of-Magnitude Leap for Accelerated Computing
Tap into unprecedented performance, scalability, and security for every workload with the NVIDIA® H800 Tensor Core GPU. With the NVIDIA NVLink® Switch System, up to 256 H100 GPUs can be connected to accelerate exascale workloads. The GPU also includes a dedicated Transformer Engine to solve trillion-parameter language models. The H800’s combined technology innovations can speed up large language models (LLMs) over the previous generation to deliver industry-leading conversational AI.
- DESCRIPTION
- SPECIFICATION
- BIOS / DRIVERS UPDATE
- REQUIREMENT
►Transformational AI Training
►Real-Time Deep Learning Inference
►Exascale High-Performance Computing
►Accelerated Data Analytics
►Enterprise-Ready Utilization
►Built-In Confidential Computing
►Unparalleled Performance for Large-Scale AI and HPC
|
Peak FP64 |
0.8 TFLOPS |
|
Peak FP64 Tensor Core |
0.8 TFLOPS |
|
Peak FP32 |
51 TFLOPS |
|
Peak TF32 Tensor Core |
756 TFLOPS* |
|
Peak BFLOAT16 Tensor Core |
1513 TFLOPS* |
|
Peak FP16 Tensor Core |
1513 TFLOPS* |
|
Peak FP8 Tensor Core |
3026 TOPSLOPS* |
|
Peak INT8 Tensor Core |
3026 TOPSLOPS* |
|
GPU Memory |
80GB |
|
GPU Memory Bandwidth |
2TB/s |
| Decoders | 7 NVDEC 7 JPEG |
| Max thermal design power (TDP) | 350W |
| Multi-Instance GPUs | Up to 7 MIGS @ 10GB each |
| Form factor | PCIe dual-slot air-cooled |
| Interconnect | NVLink: 400GB/s PCIe Gen5: 128GB/s |
| Server options | Partner and NVIDIA-Certified Systems with 1–8 GPUs |