Ollama with OpenClaw and Docker Deep Dive

Learn how to run frontier-level AI models completely locally and securely on your own hardware! In this video, we step-by-step configure Ollama inside a secure Docker container, pair it with the OpenClaw framework, and explore Apple Silicon optimization using MLX. We also dive into the GitHub repositories for a code walkthrough to show you exactly how everything connects under the hood.If you want absolute privacy, high performance, and total control over your local LLMs, this guide is for you. 👇 TIMESTAMPS 👇 0:00 - Introduction to Local Frontier AI 1:08 - Terminology 4:45 - Step-by-Step Ollama Setup 5:41 - Apple Silicon Optimization with MLX 6:57 - Setting up Gemma, QWEN and Muse Glimmer Models Locally 8:18 - Model Size, Quantization, MLX Optimized models 10:53 - Chatting with Ollama and Models Locally 14:05 - Installing Docker 15:50 - Installing OpenClaw in a Docker Container for MAC, Linux & Windows 16:40 - OpenClaw Config Code Walkthrough 22:19 - Building and Creating OpenClaw in a Docker Container 25:00 - OpenClaw Dashboard and chatting with OpenClaw in Docker and Ollama 33.10 - Wrap Up & Summary.