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
- [Feature]: TTL-based Eviction for KV Cache Blocks
- [Perf][CPU][DiffusionGemma] Run one-step DiffusionGemma reads in a single forward pass
- [ROCm][Perf][Kimi-K3] Mono decode layer for Kimi-K3 on MI355X w/ vanilla decode
- [Bugfix][NIXL] Report failed pulls per request with several KV cache groups
- [Bugfix][NIXL] Re-handshake with a pull peer after a failed read
- [Perf][Mamba] Opt-in FlashInfer SSD prefill scan; per-step ReplaySSM seed
- [Kernel][Perf] Optimize NVFP4 MoE CUTLASS quant on Blackwell
- [Bugfix][Distributed] Eagerly map the MNNVL multimem reduce-scatter buffer
- [WIP] Handle encoder cache entries larger than cache capacity
- [WIP] Expire and cancel orphaned Mooncake encoder cache waiters
- Docs
- Python not yet supported