Natural science simulation, graphic rendering, meteorological forecasting, geological exploration, and other scenarios that require large amounts of computation have high requirements for performance indicators such as computational efficiency, stability, and real-time performance. 

The inference load has lower performance requirements for GPU compared to training, but higher requirements for running stability. Build low latency and stable inference services through GPU bare metal ultimate performance.

Support high-definition video transcoding, security video surveillance, large-scale video conferences, etc. Interworking with cloud host networks and supporting different deployment architectures.