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NVIDIA RTX 4090 — AI Workstation Build Guide

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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**

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