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NVIDIA RTX 4090 — AI Workstation Build Guide
Description
A complete, opinionated build guide for an RTX 4090-based AI development workstation — from component selection to having Ollama and Stable Diffusion running.
**What's covered:**
**Part 1 — Component selection**
- RTX 4090 variant comparison (which cooler to buy)
- CPU pairing (Intel vs AMD for AI workloads)
- RAM configuration (why 128GB matters for large models)
- NVMe storage recommendations
- PSU sizing (850W is not enough — here's why)
**Part 2 — Assembly and BIOS**
- Step-by-step assembly with photos
- BIOS settings that matter for AI workloads
- PCIe 4.0 vs 5.0 — does it affect inference speed?
**Part 3 — Software stack**
- Ubuntu 24.04 or Windows 11 — pros and cons
- NVIDIA driver installation (avoid the common mistakes)
- CUDA, cuDNN, PyTorch setup
- Getting Ollama, Stable Diffusion, and ComfyUI running in under an hour
**Total build cost at time of writing: ~£3,200**