Developed MACA hardware platform support for the jd-opensource/xllm repository, enabling xLLM model execution on MACA-based systems. This work involved updating the build system using CMake, creating environment configuration scripts in Python, and introducing conditional logic within kernel headers to ensure compatibility with the new hardware target. By addressing both infrastructure and code-level requirements, the implementation allows for accelerated inference and broader deployment options on MACA platforms. The approach focused on seamless integration with existing CUDA workflows, ensuring that the new support did not disrupt current functionality. No bugs were fixed during this period, with efforts concentrated on feature delivery.