Choose the system.
Tell us what you want AI to do, how many people will use it and your approximate budget. We explain the options and trade-offs before recommending hardware.
Run AI on hardware your business owns. We build a system to suit your work and budget, install it on your network and look after it for you.
Discuss your AI setup ↗AI models chosen for your work.
We choose GPU memory, system memory, cooling and storage to suit your workloads, available space and budget.
Open-weight AI models can run on hardware your business owns. The models and software used to run them keep improving, with contributions from a wider community of developers.
We use existing models, such as Qwen and DeepSeek, and choose hardware and software that work together for your tasks. We configure the system so your team can use it, then assess which updates are worth making.
We build each machine from individual components to keep costs down and tailor the hardware to your work and budget. We plan for compatible GPU and RAM upgrades too, so you have room to grow without replacing the whole system.
GPU memory (GB, log scale)
Approximate hardware budget (log scale)
About £1,500 hardware only
Uses RAM and SSD storage alongside the GPU.
GPU prices are rising as demand grows and supply remains tight. If you want AI on your own hardware with more control over sensitive data, now is a good time to get a quote.
Illustrative hardware budgets. Setup and ongoing support quoted separately.
Approximate UK hardware budgets including VAT, November 2026.
Prices are indicative and subject to availability. Your quote may be higher, based on component prices at the time.
Memory capacity, not a performance ranking.
Cloud references compare published benchmark results, not overall equivalence. Test settings differ; local quantised versions are untested.
Tell us what you want AI to do, how many people will use it and your approximate budget. We explain the options and trade-offs before recommending hardware.
We source the hardware, assemble and test the machine, then deliver it and install it on your network. We configure security and access for the people who will use it.
We agree the scope of ongoing support with you, including maintenance, model updates and performance tuning. We test changes before applying them and keep a way to roll back if an update causes problems.
We specify each system individually, from a single machine to a larger installation. A small team and a busy shared service will need different hardware.
We follow new model and software releases and test promising changes on your workloads. We check answer quality, response times and performance under real usage before deciding whether an update is worthwhile.
A newer model may not suit your tasks as well as the one you already use. We recommend changes based on those checks.
You control the machine. We agree how it handles data, which external services it connects to and how we access it for remote support.
Tell us about the work you have in mind, who will use the system and your approximate budget. We can help you choose the hardware and models.
Discuss your AI setup ↗Back to Spectrix