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
- [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
- [Bug]: Deferred block-free path loses per-group eviction ordering for hybrid KV cache configs
- [Bug]: cuBLAS NVFP4 GEMM silently rejects M < 128, impacts speech model decode
- [Bug]: Missing quant_config in MTP eh_proj causes severe silent precision loss during W8A8 quantization
- [Bug][Spec Decode] num_speculative_tokens_per_batch_size + MTP speculator fails full CUDA graph decode capture (InputBatch.make_dummy assert)
- [Bug][Spec Decode] Drafter attention backend auto-selection picks FlashInfer on SM90 for a sliding-window drafter, hitting the guard crash
- Docs
- Python not yet supported