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
- Revert "[Bugfix] Guard mixed-dtype allreduce RMSNorm quant fusions" (#48330)
- HybridKVCacheCoordinator: DSpark draft-model KV-cache group's ephemeral content incorrectly vetoes GPU-tier prefix cache reuse
- [Core] Add explicit layer parallel plans
- Support partial fused MoE LoRA adapters
- [XPU] Support MXFP8 gemm/bmm weights for INC DeepSeek V4 model
- [RFC]: Make Triton kernel unit tests hardware-agnostic and cover untested kernels
- Replicated embedding and norm fusion
- [RFC]: Waiting-Queue-Informed LRU for Prefix Cache Eviction
- [Bug]: Hang in CUDA Graph replay with PyTorch symmetric-memory all-reduce when profiling with Nsight Systems
- [Core] Waiting-Queue-Informed LRU for Prefix Cache Eviction
- Docs
- Python not yet supported