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
- [ROCm][Perf][GDN] Internal prefill checkpoints for AITER FlyDSL
- [Bugfix][compile] Fix AOT artifact loading in DYNAMO_TRACE_ONCE mode
- [Perf][Model] Fused Triton kernels and zero-sync multi-request batching in DiffusionGemma
- [Bugfix][Reasoning] Olmo3: end reasoning only at the latest think marker
- [Model][ROCm] qwen4_exp: 4-bit NF4 n-gram embedding table
- [Bugfix][DCP] Finalize layout-dependent config before profiling
- [Perf][Gemma4] Add fused Triton kernels for QKV norm/RoPE, pre/post-FFN norms, PLE, and MoE routing
- [Bug]: EPLB counts load for the wrong expert when step_interval < window_size
- [Perf][Gemma4] Fuse MTP speculative decoding layers and sparse gather-GEMV LM head
- [Feature][KVConnector][NIXL] NixlPushConnector inverts the transfer initiator but hides no latency: the KV is still sent as one batch after prefill
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