March 2026 monthly summary for jeejeelee/vllm. Focused on stabilizing FP16 path in Marlin and ensuring robust numerical outputs under mixed precision. A single, high-impact bug fix addressed NaN/Inf outputs when using float16.

January 2026 — Delivered tensor compression and model optimization enhancements for NVIDIA Turing devices in jeejeelee/vllm. Implemented nvfp4 and fp8 weight tensor compression, updated minimum capability requirements for compression schemes, and refined backend selection logic to tailor model optimization to Turing hardware capabilities. These changes improve inference efficiency, reduce memory footprint, and enable broader hardware support, supporting scalable deployments of large models.

September 2025 monthly summary for flashinfer-ai/flashinfer: Focused on improving GPU compatibility and kernel launch reliability for older architectures (sm75). Implemented a macro-based dispatch for all sampling kernels using DISPATCH_COMPUTE_CAP_NUM_THREADS, addressing previously omitted launches and stabilizing behavior on GPUs older than sm80. This work reduces runtime failures, expands hardware support, and enhances overall product reliability for customers deploying FlashInfer on legacy hardware. The change also strengthens maintainability by centralizing launch logic under a single macro and sets the stage for future cross-arch optimizations.