NVIDIA H800 Ultra Micro NV server

NVIDIA H800 Ultra Micro NV server

NVIDIA H800 Ultra Micro NV server

Product Details:
Country of Origin: USA
Brand:NVIDIA
Model: H800 Ultra Micro NV server

Minimum order quantity :1 item
Packaging parts: raw materials for new plant and separate packaging
Delivery time :2-3 working days
Payment: Bank transfer, Western Union

NVIDIA H800 Ultra Micro NV server

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description

The NVIDIA H800 Ultra Micro NV Server is a high-performance AI server powered by NVIDIA H800 Tensor Core GPU and NVIDIA NVLink technology that delivers powerful computing performance for AI workloads.
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NVIDIA H800 Ultra Micro NV server

Product parameter

NVIDIA H800 Ultra Micro NV server

GPU: NVIDIA H800 Tensor Core GPU
CUDA core: 4480
Memory: 64GB HBM2e
Video memory bandwidth: 1TB/s
Power consumption: 250W
NVLink: indicates two NVLink connections
Usage method

The NVIDIA H800 Ultra Micro NV server can be used for a variety of AI workloads, including:

Image classification

NVIDIA H800 Ultra Micro NV server1
Natural language processing
Machine learning
Deep learning
Product application

NVIDIA H800 Ultra Micro NV servers are used in a wide range of AI applications, including:

Artificial intelligence research
Artificial intelligence development
Artificial intelligence application
Brand introduction

NVIDIA is the world’s leading graphics processor and artificial intelligence company, providing high-performance computing solutions for gaming, professional applications and data centers.

Product advantage

The NVIDIA H800 Ultra Micro NV server offers the following benefits:

Powerful computing performance
Efficient AI acceleration
Multiple application support
High reliability
manufacturer

NVIDIA H800 Ultra Micro NV server2

The NVIDIA H800 Ultra Micro NV server is manufactured by NVIDIA Corporation.

Detailed description

The NVIDIA H800 Ultra Micro NV server uses the NVIDIA H800 Tensor Core GPU, which uses the new Ampere Tensor Core and RT Core, Delivers powerful computing performance for AI workloads.

 

 

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