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Chester's Only Local AI Workstation Builder

RUN AI
LOCALLY. YOUR MACHINE.

No subscriptions. No cloud costs. No data leaving your machine. Custom AI workstations built in Chester — specced for maximum VRAM, serious inference performance, and the specific workloads you run.

GPU RTX 5090 — 32GB VRAM AI-Ready
CPU Ryzen 9 9950X — 16 Core
System RAM 128GB DDR5 — 6000MHz Max
Primary Storage 4TB NVMe Gen5
Cooling 360mm AIO — Sustained Load
PSU 1200W 80+ Platinum
32GB
Max VRAM
4.9★
Google Rated
£0
Cloud Costs
Local LLM Inference
Stable Diffusion
AI Video Generation
No Cloud Costs
RTX 5090 Builds
Chester-Based Builder
Maximum VRAM
Local LLM Inference
Stable Diffusion
AI Video Generation
No Cloud Costs
RTX 5090 Builds
Chester-Based Builder
Maximum VRAM

What Your Machine
Will Actually Run

Local LLMs

Run large language models entirely on your own hardware — no API costs, no data sent to the cloud, no rate limits. Llama 3, Mistral, Gemma, Qwen and more, running locally at serious speed.

Ollama LM Studio Jan GPT4All
Build for LLMs

Image Generation

Generate images at full resolution with no usage caps. Stable Diffusion, FLUX, ControlNet workflows — running fast on local GPU with full VRAM available for large models.

ComfyUI Automatic1111 FLUX InvokeAI
Build for Image AI

AI Video & Creation

AI video generation, upscaling, and enhancement locally. Combined with 4K video editing — a single machine that handles the full creative pipeline without subscription fatigue.

Wan2.1 Topaz DaVinci Premiere
Build for Video

More VRAM.
Bigger Models.
Faster Results.

01

VRAM is the bottleneck for AI

AI models load into GPU memory. Run out of VRAM and performance collapses — models fall back to system RAM or simply won't load. More VRAM means larger models, faster inference.

02

8GB won't cut it for serious work

A 7B parameter LLM needs ~8GB VRAM at minimum. 70B models need 32GB+. For image generation, high-resolution workflows demand 16–24GB. We spec every build to the actual task.

03

Why we recommend RTX 50-series

The RTX 5080 (16GB) and 5090 (32GB) offer the best VRAM-to-performance ratio available right now, with NVIDIA's tensor cores specifically optimised for AI inference workloads.

Small LLM (7B params) 8GB min

RTX 4070 / 5070 class — entry AI builds

Mid LLM (13–34B params) 16–24GB

RTX 4090 / 5080 — serious inference

Image Gen (FLUX Full) 20–24GB

RTX 5080 / 5090 — full resolution workflows

Large LLM (70B params) 32GB+

RTX 5090 — flagship only

Video AI + LLM Combined 48GB+

Dual GPU builds — speak to Mat

Specced for
Your Workload

Entry AI
£2,500+
The Foundation

Small to mid LLMs, standard resolution image generation, AI-assisted creative tools. A capable starting point for exploring local AI seriously.

  • GPU RTX 5070 Ti — 16GB VRAM
  • CPU Ryzen 7 9700X
  • RAM 32GB DDR5
  • Storage 2TB NVMe Gen4
  • LLM capacity Up to 20B params
Discuss this build
Flagship AI
£7,500+
The Powerhouse

Maximum VRAM, maximum throughput. 70B LLMs, full FLUX pipelines, AI video generation — the machine that removes all constraints. Nothing held back.

  • GPU RTX 5090 — 32GB VRAM
  • CPU Ryzen 9 9950X
  • RAM 96GB DDR5
  • Storage 4TB+ NVMe Gen5
  • LLM capacity 70B+ params
Discuss this build

Why these prices moved in 2026

Memory, storage and graphics cards have risen sharply this year. AI data centre demand has taken most of the world's DRAM and NAND output, so a 64GB DDR5 kit that cost around £150 last year now costs closer to £800, and high-capacity NVMe drives have roughly tripled.

Mat has raised the price rather than quietly cut the specification. Where a capacity no longer earned its cost, it dropped one step and that money went into the GPU instead. 128GB and 192GB memory configurations are still available on request, priced on the day.

Every quote is checked against live supplier stock before it is given. Prices above are a guide. Use the PC builder or call Mat for a current figure.

Free Tool

Find Your Ideal AI Workstation

Use the PC Builder Tool to get a recommended AI workstation spec based on your budget — then request a quote directly from Mat.

Use the PC Builder Tool →

why go local? NO CLOUD.
NO COSTS.
NO LIMITS.

Zero Ongoing Costs

ChatGPT Plus, Claude Pro, Midjourney — subscriptions add up to hundreds per year. Your own hardware runs the same models with no monthly fee, forever.

Complete Data Privacy

Nothing leaves your machine. Business data, client work, personal projects — all processed locally with zero cloud exposure.

No Rate Limits. No Queues.

Run as many queries as you want, whenever you want. Your GPU doesn't have usage caps or peak-time slowdowns.

Hardware Specialists — Software Agnostic

Major Custom Computing supplies the hardware foundation — specced and built for your exact AI workload. We don't install or configure AI software, but we build machines that are fully compatible with all major local AI tools. The ecosystem is well documented and most tools install in minutes on the right hardware.

Ollama LM Studio ComfyUI Automatic1111 Jan GPT4All InvokeAI Wan2.1

READY TO OWN
YOUR AI STACK?

Tell Mat what you want to run. He'll spec the right machine for your exact workload — no overselling, no guesswork.

Real Customers

WHAT PEOPLE
ARE SAYING

"Brilliant service and work done, can't praise them enough. Done within 24 hours and to perfection. Went above and beyond and kept me updated every step of the way."

Google Review · 5★

"Professional and responsive throughout. Priced everything up affordably and was super quick getting everything sorted. Couldn't recommend him enough!"

Google Review · 5★

"Amazing customer support from initial phone call to updates throughout. Can highly recommend this guy for any computer issues."

Google Review · 5★