May 2026 performance summary for repository yhyang201/sglang. Delivered a MUSA-optimized Tensor Kernel path for hot ops, including rotary embeddings, fused operations, and sampling methods, enabling significant performance and resource utilization improvements on MUSA hardware. This work is part of the MUSA kernel optimizations [18/N], committed as 15e6572f21980e906c568fa82f9677edec601eaa with sign-off by Joey-gvwal and attribution to R0CKSTAR. No explicit bug fixes were reported in the provided data for this month. Impact includes higher throughput for ML workloads, lower latency, and improved memory efficiency on MUSA, strengthening the business value of SG-lang in hardware-accelerated ML tasks. Technologies demonstrated include MUSA kernel development, tensor operation optimization, rotary embeddings, fused operations, and sampling methods; strong emphasis on code quality and maintainability with signed-off commits.