The A100 and H100 are two different chips for different purposes:
1. A100 chip: A100 is a high-performance computing accelerator chip launched by NVIDIA, which is mainly used for high-performance computing tasks in artificial intelligence, machine learning, data analysis and other fields. The A100 chip uses the advanced Ampere architecture with high density, high energy efficiency and high performance, supports a variety of deep learning frameworks and algorithms, and can be programmed through NVIDIA's CUDA programming model.
2. H100 chip: H100 is an FPGA accelerator chip launched by Intel Corporation, which is mainly used for high-performance computing tasks in the fields of network acceleration, data center acceleration, intelligent network card and so on. The H100 chip uses Intel's Stratix 10 FPGA architecture with high performance, low power and flexibility, and can be programmed through Intel's OpenCL programming model, as well as support for other development tools.
In general, the A100 chip is mainly used in artificial intelligence, machine learning and other fields, while the H100 chip is mainly used in network acceleration, data center acceleration and other fields. They are all high-performance computing accelerator chips, which can improve the efficiency and performance of computing tasks, but the application scenarios and development methods are different.
The a100 and h100 chips are used for automotive cloud processing. A100 and H100 are artificial intelligence chips similar to on-board chips and computer graphics card applications, but these chips are Gpus for cloud processing, specifically built for data center processing.