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
- [Model Loader] Introduce custom weight copy
- [Feature]: per gpu gpu-memory-utilization
- [Bug][KV Offload] `HIT_PENDING` has no deadline; a stalled write can defer requests until the client timeout
- [Rust Frontend] Support --allowed-media-domains
- [Tracking Issue]: `sm_107` enablement for Rubin GPUs and the Vera Rubin platform
- [tracing] Use explicit is not None checks for optional span parameter…
- [RFC]: vLLM Agentic Coding Readiness Survey
- [Bugfix][Worker] Respect gpu_memory_utilization on integrated (unified-memory) GPUs; fail clean instead of wedging the host
- [Bug]: DeepGEMM 2.6.x UE8M0 assert - vLLM passes uninitialized FP32 scale-factor padding to the packing kernel
- fix(mooncake): reject duplicate transfer_id to prevent KV-cache leak
- Docs
- Python not yet supported