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
- [Benchmark] Add FP8 block-scaled GEMM to fp8_gemm benchmark
- [Bugfix] Fix Aria garbage output at TP>1: shared experts double all-reduce
- [Perf] Split-reduction batch-invariant log_softmax for small-batch decode
- [Bug]: GLM-4.1V fails to start at tensor-parallel size 32 — vision tower head-count mismatch
- [Usage]: DSpark much slower than no-spec on single B300 (DeepSeek-V4-Flash) — config check, or not effective on a saturated batch yet?
- [Bugfix] Aria: set reduce_results=False on shared_experts to fix TP>1
- [Bug]: Poolside Laguna-S-2.1 poolside_v1 reasoning parser falls back to IdentityReasoningParser and fails auto initialization
- [Rust Frontend] Add #[must_use] to consuming builder methods in Rust frontend
- [Docs]: Post-#30201 SharedStorage→ExampleConnector rename still lacks migration docs and stale public examples
- [Feature]: enhance pcp with vllm
- Docs
- Python not yet supported