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
- [Bug] MooncakeConnector: KV cache data corruption under concurrent PD transfers (batch_transfer_sync_write race)
- LMCache MP external KV cache key omits LoRA identity, allowing cross-adapter KV hits
- [Roadmap] Rust Frontend Feature Parity
- [Bug]: Deployed Qwen3.5-122B-A10B at L20 node 8; after a period of operation, the EngineCore encountered an issue.
- perf : Avoid per-step list+np.array allocation in _prepare_inputs by reusing input_batch.num_tokens_no_spec
- [Feature]: Improving NVFP4 Quantization via Fast and Accurate Sweep on FP8 Block Scale
- [Bug][OffloadingConnector] _blocks_being_loaded serialises concurrent requests through a single load, causing 12× TTFT inflation
- [Bugfix][OffloadingConnector] avoid request convoy when concurrent requests share blocks being loaded
- [Kernel][XPU] Add unit tests for FLA solve_tril and recompute_w_u_fwd
- [Bug]: GGUF model loading fails on XPU: `_C` namespace missing `ggml_dequantize` custom op
- Docs
- Python not yet supported