NVIDIA H800 Enterprise 80GB

$33,800.00

GPU Name: GH100

Architecture: Hopper

Foundry: TSMC

Process Size: 4 nm

Transistors: 80,000 million

Die Size: 814mm²

Generation: Tesla Hopper

Type: Desktop

Bus Interface: PCIe 5.0 x16

Base Clock: 1095MHz

Boost Clock: 1755MHz

 

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    Enterprise adoption of AI is now mainstream, and organizations need end-to-end, AI-ready infrastructure that will accelerate them into this new era.

    H800 for mainstream servers comes with a five-year subscription, including enterprise support, to the NVIDIA AI Enterprise software suite, simplifying AI adoption with the highest performance. This ensures organizations have access to the AI frameworks and tools they need to build H800-accelerated AI workflows such as AI chatbots, recommendation engines, vision AI, and more.

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    Transformational AI training.

    H800 features fourth-generation Tensor Cores and the Transformer Engine with FP8 precision that provides up to 9X faster training over the prior generation for mixture-of-experts (MoE) models. The combination of fourth-generation NVlink, which offers 900 gigabytes per second (GB/s) of GPU-to-GPU interconnect; NVLINK Switch System, which accelerates communication by every GPU across nodes; PCIe Gen5; and NVIDIA Magnum IO™ software delivers efficient scalability from small enterprises to massive, unified GPU clusters.

    Deploying H800 GPUs at data center scale delivers outstanding performance and brings the next generation of exascale high-performance computing (HPC) and trillion-parameter AI within the reach of all researchers.

Specification Details
Graphics Processor
GPU Name GH100
Architecture Hopper
Foundry TSMC
Process Size 4 nm
Transistors 80,000 million
Die Size 814mm²
Graphics Card
Release Date Mar 2022
Generation Tesla Hopper
Type Desktop
Bus Interface PCIe 5.0 x16
Clock Speeds
Base Clock 1095MHz
Boost Clock 1755MHz
Memory Clock 1500MHz
Memory
Memory Size 80GB
Memory Type HBM3
Memory Bus 5120bit
Bandwidth 1920 GB/s
Render Config
Shading Units 8448
TMUs 528
ROPs 24
SM Count 132
Tensor Cores 528
L1 Cache 192 KB (per SM)
L2 Cache 50MB
Theoretical Performance
Pixel Rate 42.12 GPixel/s
Texture Rate 926.6 GTexel/s
FP16 (half) 118.6 TFLOPS
FP32 (float) 29.65 TFLOPS
FP64 (double) 14.83 TFLOPS
Board Design
TDP 700W
Suggested PSU 1100W
Outputs No outputs
Power Connectors 8-pin EPS
Graphics Features
DirectX N/A
OpenGL N/A
OpenCL 3.0
Vulkan N/A
CUDA 9.0
Shader Model N/A

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