March 2026 monthly summary for llm-d/llm-d and llm-d/llm-d-benchmark: Delivered substantial upgrades and CI/CD improvements that enhance stability, performance, and release reliability across core components and benchmarking platforms. Implemented core component upgrades and image version bumps with fixes to image tag typos and alignment of nightly/dev images, introduced HPU CI/CD enhancements for consistent builds and security scanning, and consolidated platform/AI component upgrades across the llm-d-benchmark stack to provide access to the latest features and stability.

February 2026 performance summary for llm-d/llm-d: Delivered stability improvements across CI/CD and release reproducibility, while clarifying workflows and enhancing documentation. Addressed critical build instability by fixing the caching issue in the commenting system and updating the Dockerfile/workflow configuration. Strengthened release reliability by sourcing vLLM version from a file in CI, ensuring correct Docker builds. Enhanced operational clarity with updated inference scheduling docs, tiered cache storage explanations, and GPU workflow naming/accelerator_type alignment. These changes reduce build failures, shorten release cycles, and improve environment consistency across GPU-enabled runs.

June 2025 performance summary for llm-d-benchmark: No new features delivered this month; primary work focused on documentation polish and repository hygiene to improve onboarding and maintainability. The main fix was README documentation polish addressing a typo and URL formatting, with a clear, traceable commit referenced to issue #72.