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AI Workstations
Single to multi-GPU desktop workstations with high-core-count CPUs, large RAM capacity and fast NVMe storage for AI development.
AI hardware supplier UK
AI Hardware for UK Businesses, Researchers & Creators
AI workstations, GPU servers, rack servers, high-performance PCs, storage and networking — specified around your workload and budget.
Product categories
Our AI hardware range
Request a quote on any category below. Placeholder cards — add real product photos, specifications and pricing as your range is confirmed.
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GPU Servers
Multi-GPU servers designed for continuous AI training and inference workloads, in rack-mount or tower form factors.
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Rack Servers
General-purpose and GPU-ready rack servers for virtualisation, databases, file serving and on-premise applications.
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High-Performance Desktop PCs
Powerful desktops for developers, creators and power users who need fast CPUs, plenty of memory and a capable GPU.
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Storage and NAS
High-speed NVMe drives, NAS appliances and backup solutions for datasets, model files, media libraries and business data.
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Networking Equipment
Switches, network cards, routers and Wi-Fi access points — including high-speed networking for multi-machine AI setups.
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Custom AI PC Builds
Fully bespoke AI PCs designed around your models, datasets, noise and power constraints, and budget.
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Accessories & Components
Power supplies, cooling, memory, cables, monitors and peripherals to complete or upgrade your system.
Use cases
What our AI hardware is used for
AI model training
Train and fine-tune models on your own data without cloud costs.
Local LLMs
Run large language models privately on-premise.
Machine learning & data science
Accelerate notebooks, pipelines and experiments.
Video rendering
Faster exports, effects and colour grading.
3D design
Smooth viewports and quicker renders for CAD and 3D.
Business automation
Power AI tools, agents and document processing in-house.
How we specify
The right balance of GPU, CPU, memory and storage
AI performance depends on the whole system, not just the graphics card. We look at:
- GPU memory (VRAM) — determines the size of models you can run or train.
- Number of GPUs — and how they connect, for larger models and faster training.
- System RAM & CPU — for data loading, preprocessing and multitasking.
- Storage — fast NVMe for datasets and model checkpoints.
- Power, cooling & noise — essential for multi-GPU systems in offices.
Need a shared server?
For teams or continuous workloads, a GPU server may be the better choice.
GPU serversTalk to an expert
Get the right AI hardware first time
- Specifications matched to your models and data
- Single workstations to multi-GPU servers
- Clear quotes with availability and warranty terms
- UK-wide supply
Prefer to talk? Call +44 (0)20 0000 0000, email info@westgateconsultancy.net or message us on WhatsApp.
Request an AI hardware quote
Tell us about your workload and we'll recommend a specification.
FAQ
Frequently asked questions
What hardware do I need to run AI models locally?
It depends mainly on the size of the models you want to run. GPU memory (VRAM) is usually the key constraint, followed by system RAM, storage speed and cooling. Read our guide How Much VRAM Do You Need for Local AI? or ask us for a recommendation.
What is the difference between an AI workstation and a GPU server?
An AI workstation is a desktop machine used by one person, usually at a desk, often with one to four GPUs. A GPU server is designed to run continuously in a rack or server room, often with more GPUs, redundant power and remote management, and can be shared by a team.
Can you supply hardware for a whole team or office?
Yes. We can quote for multiple workstations, shared GPU servers, storage and networking, and help plan how it all fits together.
Do you show prices online?
Not yet. Component prices and availability change frequently, so we confirm pricing with each quote. Online pricing will be added as our shop launches.
Planning an AI project?
Talk to us before you buy — we'll help you avoid over- or under-specifying.