Guide
Best Local LLM Setup for Windows in 2026
Windows is now a realistic local AI development environment if you choose models by hardware and keep the stack simple.
Who this is for
Windows builders, students, solo founders, and developers testing local AI before paying for hosted inference.
Recommended stack
- Ollama or LM Studio
- Open WebUI for chat
- Continue for coding
- Qdrant or pgvector for RAG
Start with the runtime
Use LM Studio if you want visual model browsing. Use Ollama if you want CLI and API workflows.
Pick smaller models first
Start with small or medium quantized models, then move up only after you understand memory and speed.
Add tools slowly
A good first stack is runtime, chat UI, coding assistant, and one vector store. Avoid adding agents until retrieval quality is stable.
Practical recommendations
- Keep a model test log
- Compare two runtimes on the same prompts
- Use smaller models for daily local work
Tradeoffs
Desktop convenience is not the same as production readiness. Track latency, VRAM, quantization, and license terms.
Related links
FAQ
Do I need an NVIDIA GPU?
No, but a GPU helps. CPU and unified-memory systems can work for smaller quantized models.
Should I start with the biggest model?
No. Start with a model that runs comfortably, then test larger options.
Sources
Next steps
Use the model and tool directories to choose the concrete pieces for your local AI stack. Sponsor and affiliate placements will be added later.