vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bugfix][ROCm] Only run FP8 AITER MLA prefill when using FP8 KV
- Synchronize distributed FlashInfer autotuning and persist cache
- [RFC] TP-wide step-consensus guard with NCCL RAS integration — field-validated, two live deadlock captures
- [Bug]: v0.25.1 int4_per_token_head crashes with SWA models
- [Bugfix][Core] Reserve the null block in auto-fit max_model_len
- [Bugfix]: add spec decode headroom to mrope/xdrope position buffers
- [Perf][Kernel] Fused DSA indexer Top-k kernel (LiteTopk)
- [ROCm][Perf] Use AITER tgemm for DeepSeek V4 compressors
- [ROCm][Perf][DeepSeek V4] Enable heterogeneous MXFP4/FP8 fused shared expert
- [Performance]: Qwen3-Omni MoE decode 3-6x slower on RTX 5090 (sm_120) — no fused-MoE tuned configs for GeForce Blackwell
- Docs
- Python not yet supported