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
- docs: document NIXL KV connector metrics aggregation semantics
- [bot] Fix Gemma4-E2B heterogeneous per-layer config support
- [Bug] Fix cudaErrorNoKernelImageForDevice in fused_add_rms_norm for T…
- [Model Runner][Multimodal] Add exact-budget encoder CUDA graphs for Cosmos3-Edge
- [Bugfix][MM][CG] Skip encoder CUDA graphs on non-first PP ranks
- [Spec Decode] Cache adaptive verification profiles
- [Bug]: NIXL HMA receive failures can return HTTP 200 with corrupted tokens
- [Kernel] Fix vllm_c fused_add_rms_norm to match native IR rounding semantics
- [Bug]: EngineCore blocks forever (no timeout) in AsyncModelRunnerOutput copy_event. synchronize() when a GPU kernel never terminates
- [Bug]: Error while trying Speculative Decoding on Intel XPU for Qwen/Qwen3.6-35B-A3B
- Docs
- Python not yet supported