Ollama tutorial sets up offline local AI

Local AI keeps winning because the setup story matters almost as much as the models. Ollama's real advantage is making self-hosted LLMs feel normal instead of fiddly.

• –Offline inference is a strong fit for privacy, reliability, and flaky connectivity.
• –A simple install path lowers the barrier for developers who want to test prompts, RAG, or agent workflows locally.
• –Cross-platform support makes Ollama feel like a default local runtime rather than a niche hobby tool.
• –The big tradeoff is still hardware: RAM, VRAM, and model size decide how far users can push it.
• –A beginner tutorial still finding an audience suggests local AI adoption is broadening, not just deepening among power users.