<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>A GPU-powered Pi for more efficient AI?</title>
        <link>https://stream.echo6.co/videos/watch/35d7c6a8-976b-4837-b4b8-d0abda593510</link>
        <description>The Raspberry Pi is a compelling low-power option for running GPU-accelerated LLMs locally. For my main test setup, here's the hardware I used (some links are affiliate links): Raspberry Pi 5 8GB ($80): https://www.raspberrypi.com/products/raspberry-pi-5/, Raspberry Pi 27W Power Supply ($14): https://www.raspberrypi.com/products/power-supply/, 1TB USB SSD ($64): https://amzn.to/3OjJysQ, Pineboards HatDrive! Bottom ($20): https://amzn.to/3Zbz0T5, JMT M.2 Key to PCIe eGPU Dock ($55): https://amzn.to/4eCpi0g, OCuLink cable ($20): https://amzn.to/3YTXNJW, Lian-Li SFX 750W PSU ($130): https://amzn.to/48T4a4R, AMD RX 6700 XT ($400): https://amzn.to/3UXywgI, And here are the resources I mentioned for setting up your own GPU-accelerated Pi: Blog post with AMD GPU setup instructions: https://www.jeffgeerling.com/blog/2024/amd-radeon-pro-w7700-running-on-raspberry-pi, Blog post with llama.cpp Vulkan instructions: https://www.jeffgeerling.com/blog/2024/llms-accelerated-egpu-on-raspberry-pi-5, Llama Benchmarking issue: https://github.com/geerlingguy/ollama-benchmark/issues/1, AMD not supporting ROCm on Arm: https://github.com/ROCm/ROCm/issues/3960, Raspberry Pi PCIe Database: https://pipci.jeffgeerling.com, Home Assistant Voice Control: https://www.home-assistant.io/voice_control/, James Mackenzie's video with RX 580: https://www.youtube.com/watch?v=J0z09Ddr58w, Support me on Patreon: https://www.patreon.com/geerlingguy Sponsor me on GitHub: https://github.com/sponsors/geerlingguy Merch: https://www.redshirtjeff.com 2nd Channel: https://www.youtube.com/@GeerlingEngineering 3rd Channel: https://www.youtube.com/@Level2Jeff Contents: 00:00 - Why do this on a Pi 01:33 - Should I even try? 02:06 - Hardware setup 04:34 - Comparisons with Llama 05:43 - How much is too much? 06:52 - Benchmark results 07:41 - Software setup 09:13 - More models, more testing</description>
        <lastBuildDate>Wed, 15 Apr 2026 13:59:40 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>PeerTube - https://stream.echo6.co</generator>
        <image>
            <title>A GPU-powered Pi for more efficient AI?</title>
            <url>https://stream.echo6.co/client/assets/images/icons/icon-512x512.png</url>
            <link>https://stream.echo6.co/videos/watch/35d7c6a8-976b-4837-b4b8-d0abda593510</link>
        </image>
        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://stream.echo6.co/about and potential licenses granted by each content's rightholder.</copyright>
        <atom:link href="https://stream.echo6.co/feeds/video-comments.xml?videoId=35d7c6a8-976b-4837-b4b8-d0abda593510" rel="self" type="application/rss+xml"/>
    </channel>
</rss>