May 2026 monthly summary for repository yhyang201/sglang focusing on stability, interoperability, and precision enhancements in the diffusion pipeline. Delivered targeted fixes and compatibility improvements across UNIPC scheduling, Hunyuan3D-2 DiT model support, and Qwen image processing, resulting in improved reliability, reproducibility, and model parameter handling.

August 2025 performance summary for bytedance-iaas/sglang. Delivered high-impact optimization of the Fp4 Mixture-of-Experts (MoE) quantization kernel, enabling larger MoE models with improved throughput and lower latency. Implemented a new kernel variant using binary-search-based expert lookup and refactored the existing kernel to efficiently handle varying expert counts. Tuned thread and block configurations to maximize GPU utilization for large MoE workloads. No major bugs reported this month; focus centered on performance, reliability, and maintainability. This work directly supports scalable inference for MoE models, delivering clear business value through faster responses and cost-efficient resource use.