Run AI models on hardware you control, inside your own building or your own colocation rack, so sensitive data never leaves your organisation.
Legal, clinical and financial teams often cannot send data to a shared AI service. Owning the hardware removes that problem entirely and makes costs predictable.
A private platform is more than GPUs. We supply the compute, storage, networking and the software layer needed to serve models to your users.
Most organisations start with a single workstation or a four-GPU server, then grow into a rack once usage is proven.
On-premise, colocation, or a hybrid where training is rented and inference is owned.
Discovery, sizing, quotation, build, installation and handover. No obligation to buy at any stage.
UK-based support, spare parts cover and optional managed operation.
An entire rack delivered as one computer. It is bought for frontier model training and very large inference platforms, and requires liquid cooling and high-capacity power.
Memory
20736 GB
Deployment
Datacentre
Price on request
Allocation only
The mainstream high-end training GPU. Sold as part of an eight-GPU server rather than as a card you fit yourself.
Memory
180 GB
Deployment
Rack server
Price on request
Available to order
A large-memory workstation card. It fits into a professional tower and lets you run or fine-tune substantial models on your own hardware.
Memory
96 GB
Deployment
Deskside workstation
£7,495
ex VAT
In stock
A very capable data centre GPU in card form, so it can be fitted into common rack servers rather than requiring a specialist chassis.
Memory
141 GB
Deployment
Rack server
£24,950
ex VAT
Low stock