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
- [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
- [Frontend] Remove pooling multi task support. (Hold off until v0.20.0)
- replace cuda_device_count_stateless() to current_platform.device_count()
- Docs
- Python not yet supported