<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>对比 on PlumePHP</title><link>https://plumephp.com/tags/%E5%AF%B9%E6%AF%94/</link><description>Recent content in 对比 on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 10 Sep 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/%E5%AF%B9%E6%AF%94/index.xml" rel="self" type="application/rss+xml"/><item><title>推理引擎终极对比：TensorRT vs ONNX Runtime vs OpenVINO</title><link>https://plumephp.com/ai-inference-engine-comparison/</link><pubDate>Thu, 10 Sep 2026 10:00:00 +0800</pubDate><guid>https://plumephp.com/ai-inference-engine-comparison/</guid><description>&lt;p&gt;模型训练完成后，真正的挑战才刚刚开始：如何让模型在生产环境中跑得又快又稳？选择一个合适的推理引擎，往往比换一块更贵的显卡带来的收益更大。本文将深入对比业界三大主流推理引擎 —— TensorRT、ONNX Runtime 和 OpenVINO，从延迟、吞吐、硬件兼容性到量化策略逐一拆解，并给出可直接落地的选型决策树与混合部署方案。&lt;/p&gt;</description></item></channel></rss>