NVIDIA H800 PCIE

The NVIDIA H800 PCIe module is a high-performance graphics processor (GPU) acceleration card from Nvidia Corporation designed for data center and high-performance computing (HPC) environments. It is based on NVIDIA’s Hopper architecture and is designed to accelerate applications in areas such as artificial intelligence, machine learning, and high-performance computing.

Product characteristics
Excellent performance: The H800 delivers powerful computing power that significantly accelerates deep learning, natural language processing, scientific computing and more.
Large-capacity memory: Equipped with large-capacity high-bandwidth memory, can handle massive data, improve training and reasoning efficiency.
High-bandwidth interface: Connects to a server through a PCIe port, providing high-speed data transmission.
Multi-precision calculation: Support a variety of data accuracy, including FP32, FP16, INT8, etc., to meet the needs of different applications.
Energy efficient: Advanced processes and architectures provide powerful performance while achieving high energy efficiency.
Product parameters (typical values, specific parameters are subject to official data)
GPU architecture: Hopper
Number of CUDA cores: [Specific value varies according to the model]

Memory capacity: 80GB
Memory bandwidth: [Specific value, depending on the model]
Port: PCIe 5.0 x16
Power consumption: [Specific value, depending on the model]
Supported apis: CUDA, cuDNN, TensorRT
Product application
Artificial intelligence training: large-scale language model training, computer vision model training
High performance Computing: scientific computing, engineering simulation, financial analysis
Data analysis: Big data processing, data mining
Cloud computing: cloud-based AI-accelerated services