Run Local AI on Ubuntu — CPU Only! No GPU Required

Can you run AI locally on Ubuntu without an NVIDIA GPU? Yes! In this video, we'll build a practical local AI setup on Ubuntu using only your CPU. You'll learn how local AI works, how to install Ollama, download and run AI models locally, monitor CPU and RAM usage, understand AI inference, model sizes and quantization, and see the difference between inference, training, and fine-tuning. This is a hands-on guide for Ubuntu users, developers, students, and anyone interested in running AI on their own computer. In this video: • What local AI actually means • CPU vs GPU for AI • How to check your CPU and RAM • Installing Ollama on Ubuntu • Downloading and running a local AI model • Testing real AI tasks • Monitoring CPU and RAM usage • Understanding AI inference • Model sizes and quantization • Training vs fine-tuning vs inference • Running AI locally and offline • Using a browser-based interface with Open WebUI • What CPU local AI is actually good for ⚠️ CPU-based AI can be slower than GPU-based AI, especially with larger models. Your performance will depend on your CPU, RAM, model size, and the model's quantization. 💻 What are you running? Comment your: • CPU • RAM • Ubuntu version And let me know which local AI model you want to try! This video was inspired by a viewer who asked for a practical guide to running local AI using only a CPU. 🔥 ━━━━━━━━━━━━━━━━━━━━━━ 🚀 Welcome to RootCraftLinux! RootCraftLinux is all about Ubuntu, Linux, AI development, local AI, developer tools, cybersecurity, troubleshooting, and practical technology tutorials. Subscribe for more hands-on tutorials! #Ubuntu #LocalAI #Ollama #Linux #ArtificialIntelligence #CPU #LLM #OpenWebUI