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
- [Misc][Docs] Add comprehensive Responses API documentation and unit tests
- [Usage]: It seems that there is no kimi-k3-cu129 docker.
- [Feature]: Balanced MoE routing between GPUs
- [Feature]: AMD Kimi K3 MoRI MI355X disagg
- [RFC]: Back-pressure detection for KV cache offloading tiers
- [XPU] Gate FlashAttention-in-graph on oneAPI 2026.0+ runtime support
- docs: clarify post-generation checks vs logits processors
- [RFC]: Shared Context Parallelism: peer-addressable GPU objects for PCP and DCP
- [Bug]: NVFP4 KV writes V block scales in the SM100 trtllm-gen swizzle unconditionally, silently corrupting the SM120 FlashInfer XQA route
- Codex/kimi k3 dspark pp
- Docs
- Python not yet supported