<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Install LocalAI · LocalAI</title><link>https://localai.io/docs/start/install/index.html</link><description>Install LocalAI with the install script, the macOS app, a container, Kubernetes or from source.</description><generator>Hugo</generator><language>en-GB</language><atom:link href="https://localai.io/docs/start/install/index.xml" rel="self" type="application/rss+xml"/><item><title>Containers</title><link>https://localai.io/docs/start/install/containers/index.html</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://localai.io/docs/start/install/containers/index.html</guid><description>Install and use LocalAI with container engines (Docker, Podman)</description></item><item><title>Linux Installation</title><link>https://localai.io/docs/start/install/linux/index.html</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://localai.io/docs/start/install/linux/index.html</guid><description>Install LocalAI on Linux using binaries</description></item><item><title>macOS Installation</title><link>https://localai.io/docs/start/install/macos/index.html</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://localai.io/docs/start/install/macos/index.html</guid><description>Install LocalAI on macOS using the DMG application</description></item><item><title>Run with Kubernetes</title><link>https://localai.io/docs/start/install/kubernetes/index.html</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://localai.io/docs/start/install/kubernetes/index.html</guid><description>Install LocalAI on Kubernetes with the Helm chart or with example manifests.</description></item><item><title>Running on Nvidia ARM64</title><link>https://localai.io/docs/start/install/nvidia-l4t/index.html</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://localai.io/docs/start/install/nvidia-l4t/index.html</guid><description>Run LocalAI on NVIDIA ARM64 devices: Jetson boards and DGX Spark.</description></item></channel></rss>