Running Local AI on AMD

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Sam Witteveen Open on YouTube ↗
Ollama Tool Local LLM Topic Open Weight Models Topic AI Hardware Tool Qwen Model Gemma Model DeepSeek Company Unsloth Tool Image Generation Vertical AI Agents Vertical Developers Audience Technical Level LM Studio Tool Private AI Topic
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In this video, we look at running local AI work jobs for LLMs, images and video models, but running it on an AMD GPUs and processors. Find out more details below. Join the AMD AI Developer Program for free cloud credits, expert access, and premium AI training—everything you need to build, optimize, and scale on AMD. Start building today → https://www.amd.com/en/developer/ai-dev-program.html Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 01:05 Hardware Overview 01:31 Open Weights Models 02:04 Token Cost Problem 03:18 Hardware Used when Running Local AI 04:26 LM Studio 06:38 ROCm 08:18 Unsloth 08:56 Demo: ComfyUI 11:00 Better with Linux

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