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][Rust Frontend] /v1/completions rejects an array of prompts
- [Bug]: CPU build fails with 'Torch not compiled with CUDA enabled' in gumbel_sample when an NVIDIA driver is visible (e.g. WSL2)
- [Model][Hardware][AMD] Use AITER Gluon MLA for Small FP8-KV Decode Batches
- [Bugfix][Rust Frontend] Support batch prompts in completions
- [KV offload] OffloadingEventsTracker emits placeholder BlockStored for SSM-group checkpoints; routers cannot see where a hybrid prefix is reusable
- [Perf][Kernel] Single-pass register-resident rms_norm_per_block_quant kernel
- [Observability] Count device prefix-cache block evictions
- [Bugfix][KV Connector] MoRIIO: wait for the decode-rank handshake before WRITE
- [Bug]: TurboQuant on hybrid (GDN) models: manager block cannot be split into kernel blocks, and a quantized-KV drafter inflates all KV pages (pool 97k vs 235k tokens)
- [MoE] Add uniform subset MoE routing
- Docs
- Python not yet supported