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
- [Model] Enable torch.compile/CUDA graphs for HYV3MTP draft model
- [Doc] Expand ModelOpt NVFP4 docs: hardware support, MoE serving, accuracy evaluation
- [Core] Make KV-cache dtype support platform-aware
- [Doc]: Add Pixeltable integration to inference & serving/integrations docs
- Add tiering offloading metrics
- [Spec Decode][V1] Warm Eagle and DFlash/DSpark spec-decode Triton kernels at startup
- [Warmup][V1] Exhaustive sparse-MLA Triton kernel warmup
- [Bugfix] Respect user-set TRITON_CACHE_DIR in InductorAdaptor
- [Warmup][V1] Wrap each kernel_warmup call in try/except
- [Bugfix] Reject per-request disable_any_whitespace in structured outputs
- Docs
- Python not yet supported