Deploy LLM apps using Docker Model Runner and Ollama

*Title:* Docker Model Runner vs Ollama: Key Differences Explained - Github Repo with examples : https://github.com/becloudready/llm-examples - Ollama: https://ollama.com/ - Docker Model Runner https://docs.docker.com/desktop/features/model-runner/ - Step by Step blog for Docker Runner on Mac - https://www.becloudready.com/post/how-to-run-docker-model-runner-on-your-laptop-for-llm-inferencing-and-chatbot-development - Step by Step blog for Windows and Ollama - https://www.becloudready.com/post/how-to-run-and-deploy-llm-apps-on-your-windows-laptop-with-or-without-gpu-using-ollama-and-docker *Description:* In this video, we compare two popular tools for running machine learning models: *Docker Model Runner* and *Ollama*. Whether you're a data scientist, AI developer, or cloud engineer, understanding the key differences between these two tools can help you choose the right one for your specific use case. We dive into: - Purpose & Focus: Docker Model Runner’s containerization and flexibility vs Ollama’s LLM-centric approach. - Deployment & Infrastructure: Docker’s reliance on Kubernetes vs Ollama’s simple local deployment. - Supported Models: Docker’s versatility across AI frameworks vs Ollama’s focus on LLaMA and GPT models. - Ease of Use: The complexity of Docker Model Runner vs Ollama’s user-friendly interface. - Customizability & Extensibility: Docker’s deep customization options vs Ollama’s ease of setup for LLM tasks. Watch the video to learn how to leverage these tools in your AI workflows and make an informed decision on which suits your needs best! Timeline: 00:00 – Introduction 00:36 – Docker Model Runner and Ollama comparison 01:53 – Setup Docker Model runner 03:52 – Ollama Setup on Windows 05:39 – Final Thoughts #Docker #Ollama #MachineLearning #AI #LLM #TechTutorial