H800 is a GPU launched by NVIDIA, commonly used in AMD NV servers. The following is its related introduction:

Performance parameters:

H800 Ultra Micro NV Server Computing Power: H800 adopts NVIDIA's Hopper architecture and has powerful computing power. For example, in the training and inference tasks of deep learning, it can quickly process large amounts of data and complex calculations, with significant performance improvements compared to the previous generation of products. The specific performance indicators may vary depending on different application scenarios and configurations, but overall, it can demonstrate outstanding performance in fields such as artificial intelligence and high-performance computing.

Video Memory Capacity and Bandwidth: Generally equipped with high-capacity video memory, such as the common 80GB HBM3 video memory, the video memory bandwidth is also high, such as up to 1681GB/s, which allows it to handle large-scale models and datasets, reduce data transmission latency between memory and video memory, and provide strong support for complex computing tasks.

Technical features:

Tensor Core Technology: The Tensor Core technology of H800 has been further optimized and upgraded, which can accelerate matrix operations in deep learning more efficiently, greatly improve the efficiency of training and inference, and provide powerful computing power for various applications in the field of artificial intelligence.

Support NVLink: Supports high-speed NVLink technology, enabling high-speed communication and data transfer between GPUs. When used in servers with multiple GPU configurations, NVLink can effectively improve the data exchange speed between GPUs, enhance the system's parallel computing capabilities, and better meet the needs of large-scale computing tasks.

H800 Ultra Micro NV Server Application Scenarios:

Artificial Intelligence and Machine Learning: In the research and development of artificial intelligence, H800 can be used to train complex neural network models, such as image recognition, natural language processing, speech recognition, and other applications. Its powerful computing power and efficient Tensor Core technology can accelerate the training process of the model, improve its accuracy and performance.

H800 Ultra Micro NV Server High Performance Computing: In the fields of high-performance computing such as scientific research, engineering simulation, and meteorological forecasting, H800 can provide powerful computing power support for complex computing tasks, helping researchers and engineers to perform calculations and simulations more quickly, and promoting the development of scientific research and engineering technology.

Data Center: In data centers, H800 can be used to build high-performance computing nodes, providing powerful computing resources for cloud computing, big data analysis, and other services, meeting the growing demand for large-scale data processing and high-performance computing.

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