March 2026 monthly performance summary: Delivered memory-efficient inference enhancements and robust sampling reliability across two key repositories. The work focused on FP8 quantization readiness for Triton-based attention, and hardening the FlashInfer sampling path to prevent memory safety issues, aligning with Torch.compile workflows and testing rigor.

February 2026 recap: Security, stability, and FP8 enablement across three repos. Implemented a security-focused Authorization header policy in jeejeelee/vllm; stabilized autotuner behavior under OOM in flashinfer; expanded FP8 tooling and testing in sglang (ModelOpt FP8 docs and tests) with an enhanced MockModelRunner for broader attention configurations; and fixed FP8 KV cache dtype synchronization for reliable model execution. These changes reduce risk, improve runtime stability, and accelerate FP8-enabled workflows for optimization and inference.