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
- Reapply [Attention][FA3] Update FA3 to include new swizzle optimization
- [Spec Decode] Reduce TP communication for speculative decoding draft token generation
- [CI] Add P2pNccl integration test + rename nixl_integration to pd_integration
- [Refactor] [1/N] Reorganize kernel abstraction directory
- [Perf] Optimize async scheduling redundant copy, 0.9% E2E throughput improvement
- [BugFix] Fix mm_encoder_only init for qwen3 vl moe model
- [ROCm][AITER] Add fused RoPE+KVCache pass with MultiOutputPattern fix
- [Kernel] [Helion] [5/N] Add Helion Autotuning infrastructure
- [Core] Add Helix (Context + Tensor) Parallelism
- [Core] Configurable encoder compute and cache budget
- Docs
- Python not yet supported