The AI-oriented, heterogeneous Compute Architecture for Neural Networks (CANN) is a key platform for improving the computing efficiency of Ascend AI processors. It serves as a bridge between upper-layer AI frameworks and lower-layer AI processors and programming. This topic will focus on OpenSource ecosystem about CANN, shows how CANN helps AI sofeware, such as pytorch, vllm and so on, efficiently running on Ascend.
