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
- [XPU][Bugfix] Fall back to native mem_get_info when sysman getMemoryInfo reports free=0
- [Bug]: cuMemcpyBatchAsync segfaults or hangs on large/repeated compact scatter submissions
- [Rust Frontend] Allow media placeholder target to be a list of tokens
- [DSv4 triton] Add a pure-Triton fp4 pack fallback so the mxfp4 indexer kernel
- [DSv4 Perf]Right-size per-task RMSNorm blocks for the fused QK norm
- [Frontend][Responses] Apply reasoning.context on the input path
- [Bug Fix] Indexer Cache need indexer num equal to attention num
- [XPU][UT] Fix OOM and skip graph case
- [Bugfix][Attention] Keep model-dtype query for FlashInfer builders serving non-causal attention
- Add vllm:kv_offload_cpu_total_blocks capacity metric
- Docs
- Python not yet supported