May 2026 focused on boosting performance, reliability, and deployment readiness across Wan2.2, Mistral Large, Hunyuan3D, and Kimi-K2.5. Delivered end-to-end model optimization for Wan2.2 with diffusion integration, CI stabilization, and backend defaults; introduced a configurable optimization framework for Mistral Large; enhanced Hunyuan3D export quality; enabled piecewise CUDA graphs and improved token handling for Kimi-K2.5; and pushed multiple inference and kernel efficiency improvements (CFG gating, FP32 LayerNorm caching, RMSNorm/LTX2 kernel optimizations, VSA attention refactor, and JIT routing). These changes collectively increase model performance, reduce latency, stabilize benchmarking, and enable scalable deployment, delivering clear business value.

December 2024 monthly summary for zhaochenyang20/Awesome-ML-SYS-Tutorial focused on documentation improvements and minor bug fixes in SGLang. Delivered key feature updates: improved code walk-through and inline guidance for Scheduler management of the Radix Cache and the deployment sequences for TokenizerManager and DetokenizerManager in multi-node inference scenarios; added a ZeroMQ IPC reference in the docs; corrected a minor typo ('charactor' to 'character') with consistent code-reference formatting.