https://answer.freetools.me/tags/pagedattention/ Recent content in PagedAttention on Answer Hugo -- 0.152.2 zh-cn Thu, 12 Mar 2026 22:19:43 +0800 https://answer.freetools.me/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%A1%86%E6%9E%B6%E7%9A%84%E6%8A%80%E6%9C%AF%E5%8D%9A%E5%BC%88%E4%BB%8Evllm%E5%88%B0tensorrt-llm%E8%A7%A3%E6%9E%90%E4%B8%89%E5%A4%A7%E6%A1%86%E6%9E%B6%E7%9A%84%E8%AE%BE%E8%AE%A1%E5%93%B2%E5%AD%A6%E4%B8%8E%E6%80%A7%E8%83%BD%E7%AA%81%E5%9B%B4/ Thu, 12 Mar 2026 22:19:43 +0800 https://answer.freetools.me/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E6%A1%86%E6%9E%B6%E7%9A%84%E6%8A%80%E6%9C%AF%E5%8D%9A%E5%BC%88%E4%BB%8Evllm%E5%88%B0tensorrt-llm%E8%A7%A3%E6%9E%90%E4%B8%89%E5%A4%A7%E6%A1%86%E6%9E%B6%E7%9A%84%E8%AE%BE%E8%AE%A1%E5%93%B2%E5%AD%A6%E4%B8%8E%E6%80%A7%E8%83%BD%E7%AA%81%E5%9B%B4/ 深度解析大模型推理框架的技术演进，从vLLM的PagedAttention到TensorRT-LLM的硬件极致优化，再到llama.cpp的跨平台哲学，揭示三大框架如何在内存管理、批处理策略、算子融合等维度进行技术博弈，以及如何根据业务场景做出正确选择。 https://answer.freetools.me/kv-cache%E4%B8%BA%E4%BB%80%E4%B9%88%E8%BF%99%E4%B8%AA%E7%BC%93%E5%AD%98%E5%86%B3%E5%AE%9A%E4%BA%86%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E7%9A%84%E9%80%9F%E5%BA%A6%E5%92%8C%E6%88%90%E6%9C%AC/ Thu, 12 Mar 2026 00:32:19 +0800 https://answer.freetools.me/kv-cache%E4%B8%BA%E4%BB%80%E4%B9%88%E8%BF%99%E4%B8%AA%E7%BC%93%E5%AD%98%E5%86%B3%E5%AE%9A%E4%BA%86%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E7%9A%84%E9%80%9F%E5%BA%A6%E5%92%8C%E6%88%90%E6%9C%AC/ 深入解析大模型推理中KV Cache的工作原理、内存消耗计算、PagedAttention优化、GQA架构演进，以及如何在实际部署中进行容量规划。 https://answer.freetools.me/%E4%B8%BA%E4%BB%80%E4%B9%88pagedattention%E8%83%BD%E8%AE%A9%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E5%90%9E%E5%90%90%E9%87%8F%E6%8F%90%E5%8D%87%E6%95%B0%E5%80%8D%E4%BB%8Ekv-cache%E5%86%85%E5%AD%98%E7%A2%8E%E7%89%87%E5%88%B0%E5%88%86%E9%A1%B5%E7%AE%A1%E7%90%86%E7%9A%84%E7%B3%BB%E7%BB%9F%E7%BA%A7%E4%BC%98%E5%8C%96/ Mon, 09 Mar 2026 04:02:20 +0800 https://answer.freetools.me/%E4%B8%BA%E4%BB%80%E4%B9%88pagedattention%E8%83%BD%E8%AE%A9%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E5%90%9E%E5%90%90%E9%87%8F%E6%8F%90%E5%8D%87%E6%95%B0%E5%80%8D%E4%BB%8Ekv-cache%E5%86%85%E5%AD%98%E7%A2%8E%E7%89%87%E5%88%B0%E5%88%86%E9%A1%B5%E7%AE%A1%E7%90%86%E7%9A%84%E7%B3%BB%E7%BB%9F%E7%BA%A7%E4%BC%98%E5%8C%96/ 深度解析PagedAttention如何借鉴操作系统虚拟内存技术解决KV Cache内存碎片问题。从三种内存碎片的根本原因到block table映射机制，全面阐述这项让LLM推理吞吐量提升2-4倍的核心技术。 https://answer.freetools.me/gpu%E6%98%BE%E5%AD%98%E4%B8%BA%E4%BD%95%E6%80%BB%E6%98%AF%E4%B8%8D%E5%A4%9F%E7%94%A8%E4%BB%8E%E5%86%85%E5%AD%98%E5%A2%99%E5%88%B0kv-cache%E7%A2%8E%E7%89%87%E5%8C%96%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AA%81%E5%9B%B4/ Fri, 06 Mar 2026 22:30:03 +0800 https://answer.freetools.me/gpu%E6%98%BE%E5%AD%98%E4%B8%BA%E4%BD%95%E6%80%BB%E6%98%AF%E4%B8%8D%E5%A4%9F%E7%94%A8%E4%BB%8E%E5%86%85%E5%AD%98%E5%A2%99%E5%88%B0kv-cache%E7%A2%8E%E7%89%87%E5%8C%96%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AA%81%E5%9B%B4/ 深度解析GPU显存瓶颈的本质原因，从硬件层面的内存墙问题到软件层面的KV Cache管理困境，全面剖析PagedAttention、FlashAttention等突破性技术的原理与权衡。 https://answer.freetools.me/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E4%B8%BA%E4%BD%95%E8%BF%99%E4%B9%88%E6%85%A2%E4%BB%8E%E5%86%85%E5%AD%98%E5%B8%A6%E5%AE%BD%E7%93%B6%E9%A2%88%E5%88%B0kv-cache%E4%BC%98%E5%8C%96%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AA%81%E5%9B%B4/ Fri, 06 Mar 2026 12:41:49 +0800 https://answer.freetools.me/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E4%B8%BA%E4%BD%95%E8%BF%99%E4%B9%88%E6%85%A2%E4%BB%8E%E5%86%85%E5%AD%98%E5%B8%A6%E5%AE%BD%E7%93%B6%E9%A2%88%E5%88%B0kv-cache%E4%BC%98%E5%8C%96%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AA%81%E5%9B%B4/ 深入解析大语言模型推理的性能瓶颈，从内存带宽限制到KV Cache优化的完整技术演进路线。涵盖FlashAttention、PagedAttention、GQA、连续批处理等核心技术，以及vLLM与TensorRT-LLM框架的选型建议。