Keping Yan enhanced hardware accelerator support in the antgroup/ant-ray and HabanaAI/vllm-hpu-extension repositories by improving documentation and addressing reliability issues for Habana Processing Units (HPUs). He updated Ray Serve and Ray Train guides using Markdown and Python, providing clear examples and configuration instructions for HPU resource allocation alongside CPU and GPU management. In vllm-hpu-extension, he fixed a numerical bug in bucket calculation logic, improving runtime correctness for HPU workloads. Keping’s work focused on technical writing, software development, and documentation, enabling teams to adopt HPUs more confidently and reducing onboarding friction through practical, well-structured guidance and code improvements.