While cloud-based AI models offer high performance, local LLM execution has gained massive popularity due to data privacy, offline availability, and zero inference costs. Tools like Ollama make running powerful open-source models like DeepSeek-R1 and Llama 3 extremely simple.
Setting Up Ollama
Ollama runs as a background service on Windows, macOS, and Linux, providing a local HTTP server that exposes a REST API. You can download and run models with a simple terminal command like ollama run deepseek-r1.
Integrating with Local IDEs
Many developers configure local models as backend engines for their IDE coding assistants (like Continue or VS Code extensions), allowing for secure, offline code completions and context-aware refactoring.
