December 2025 performance summary for PaddlePaddle projects (PaddleX, paddlepaddle/paddleocr, and PaddlePaddle/PaddleCustomDevice). Key GPU-accelerated OCR capabilities were delivered on the Metax GPU, expanding deployment options and performance for real-world OCR workloads. Specific outcomes include: PaddleX now supports OCR on Metax with an expanded GPU whitelist to accommodate new device structures, enabling broader model deployment and improved OCR throughput; PaddleOCR VL is now supported on metax_gpu, enabling accelerated inference on Metax hardware with consistent code style improvements; CUDA Graphs are integrated into the Metax GPU backend via PaddleCustomDevice, delivering lower latency and better resource utilization through graph-based execution and debugging capabilities. These features were implemented across three repositories with targeted commits, delivering business value through faster inference, broader hardware compatibility, and more robust GPU-based OCR pipelines. In addition to feature work, notable fixes include code style cleanups for consistency and a fused compile bug fix in cudagraph integration, contributing to greater stability and maintainability.

November 2025 update for PaddlePaddle/PaddleCustomDevice focusing on Metax GPU backend CI and CUDA backend improvements. Key outcomes include a CI pipeline modernization for the Metax GPU backend, substantial CUDA backend performance and kernel integration work, and a CUDA kernel include path bug fix that improved embedding registration and gradient handling.

October 2025: PaddleCustomDevice delivered GPU backend enhancements with CUDA support and CI/build-system improvements. Key features include tensor copying/printing utilities, a new CUDA dot operation in the Blas class, and updates to sources and CMakeLists to reflect GPU backend improvements, with CI updated to include the Paddle directory. Build system and CI efficiency were enhanced by updating dependencies (PaddlePaddle and Eigen) and refactoring CI to skip full tests when only common files change; CMake now uses environment variables for library paths to improve build flexibility.

Month: 2025-09 | PaddlePaddle/PaddleCustomDevice: Focused efforts on expanding Metax GPU backend capabilities, stabilizing build/test pipelines, and strengthening CI workflows to enable faster, reliable feature delivery.

Monthly work summary for 2025-08 focusing on delivering backend reliability, integration, and observability improvements for PaddleCustomDevice. Highlights include concrete feature deliveries, targeted bug fixes, and profiling enhancements that improve business value through better performance, stability, and debuggability.