May 2026 monthly summary for yhyang201/sglang focusing on distributed model inference improvements. Delivered a Distributed Shared Expert Configuration for the Model Runner and DeepseekV2, enabling shared expert TP1 and enhancing model parallelism and efficiency in distributed deployments. Implemented a new environment variable to control shared expert configurations and updated core components to accommodate the changes, enabling scalable, multi-expert workloads.

April 2026 summary for bytedance-iaas/sglang: Stability hardening of KV-based token-to-KV pool operations. Implemented KVArgs attribute support and safe MHATokenToKVPool access; updated PrefillBootstrapQueue to safely access attributes; fixed runtime errors due to missing attributes and resolved total_mamba_layer_ids issue (#442). Result: reduced crash risk and more robust KV token management with clear traceability to the commit.

March 2026 monthly summary for sgLang repos (bytedance-iaas/sglang and ping1jing2/sglang). Focused on delivering performance, reliability, and developer productivity improvements across model serving, KV cache, and function-call tooling, with robust bug fixes to ensure correct model configuration and state tracking.

February 2026 (2026-02) monthly summary for kvcache-ai/sglang. Focused on hardware-aware performance optimization for the fused MoE model on NVIDIA H20. Implemented a new tuning configuration file that optimizes performance parameters across block sizes and group sizes, establishing a reproducible baseline for future hardware tuning and enabling more efficient deployments of MoE workloads.