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] Fix remaining START_DP_WAVE pause race in _handle_client_request
- [Parser] Remove unused request parameter from extract_reasoning()
- [gRPC] Add standard gRPC health checking (grpc.health.v1) for Kubernetes native probes
- [NIXL][BUG] Fix Triton heterogeneous TP
- [Core][Frontend] Add gradient computation feature with /v1/gradients API endpoint
- [Core] Use standalone autograd_cache_key for compilation dedup optimization
- [Frontend] Add pluggable store backends for Responses API persistence
- [Frontend][Core] Add hierarchical cache salting for shared prefixes across tenants
- replace torch.cuda.set_stream/current_stream with accelerator api
- [UX] Integrate DeepGEMM into vLLM wheel via CMake
- Docs
- Python not yet supported