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
- [Feature]: AMD Kimi K3 MoRI MI355X disagg
- [XPU] Gate FlashAttention-in-graph on oneAPI 2026.0+ runtime support
- [Bug]: NVFP4 KV writes V block scales in the SM100 trtllm-gen swizzle unconditionally, silently corrupting the SM120 FlashInfer XQA route
- Codex/kimi k3 dspark pp
- [Bugfix][KV Offload] Protect unread promotions from eviction by other speculative promotions
- [Performance] Measure Transformers backend startup time vs native
- [Model] Add native RWKV7 serving, fused execution, and quantization
- [Bugfix] Bound accepted-token state lookups in GDN/KDA spec decode
- [Kernel] ReplaySSM: cache SSM inputs for faster Mamba2 speculative decode
- [Bug]: EngineDeadError NVFP4 marlin
- Docs
- Python not yet supported