Running LLMs Locally with Ollama: Benefits, Limitations, and Hardware Reality

🚀 Introduction Large Language Models (LLMs) are everywhere — but most developers rely heavily on cloud providers like OpenAI, Anthropic, or Azure. But what if you could run models locally on your machine ? That’s where Ollama comes in. In this article, I’ll explain: Why you should consider using Ollama When it makes sense The real limitations (especially GPU vs CPU) Lessons learned from using it in a Spring Boot project 🤖 What is Ollama? Ollama is a tool that allows you to run LLMs locally with a simple CLI/API. Example: ollama run llama3 Or via HTTP: POST http://localhost:11434/api/generate It abstracts away: Model downloads Runtime configuration Inference execution 💡 Why Use Ollama? 1. 💰 Zero Cost for Development No API calls → no billing → perfect for: Local testing Prototyping Feature validation 2. 🔒 Privacy & Data Control Your data never leaves your machine: Great for sensitive use cases Useful for regulated environments 3. ⚡ Offline Capability You can run LLMs: Without internet W