面向大语言模型的高吞吐、低显存推理与服务引擎，通过 PagedAttention 等优化显著提升并发吞吐并降低显存占用，适合部署在线推理服务。
用 PyTorch 从零实现的轻量级 vLLM，代码精简易读，适合学习大模型推理引擎的调度、KV Cache 和 PagedAttention 等核心机制。
…. - Optimized sparse attention indexers and SparsePagedAttention softmax, and cached sparse-indexer QSA visibility and scores ([ 32613](https://github.com/microsoft/onnxrunti
…Caching - Added a cuDNN paged SDPA decode tier to PagedAttention for eligible FP16/BF16 causal workloads with unquantized KV caches. It is selected ahead of FlashAttention wh
…HiSparse、Overlap Scheduling、0.5.16 版本解读）；vLLM 演进史（PagedAttention 退役、gpu-memory-utilization 谢幕、MLA 的 TP 冗余分析）；PD 分离 KV 传输三部曲；HBM KV Pool 与系统并发上限；DeepSeek 注意力演进（MLA → CSA + HCA
…://github.com/apache/tvm/pull/20147 [Runtime] Add PagedAttentionKVCache checkpoint primitives by @akaashrp in https://github.com/apache/tvm/pull/20035 [Fix][Relax][Frontend][
…://github.com/apache/tvm/pull/20147 [Runtime] Add PagedAttentionKVCache checkpoint primitives by @akaashrp in https://github.com/apache/tvm/pull/20035 [Fix][Relax][Frontend][
…y Dashboard with real-time vLLM server metrics, a PagedAttention Visualizer for KV cache insight, Token Counter & Logprobs Visualizer for per-token analysis, a Speculative De