Managed AI Hosting for UK Startups & Small Businesses
Fixed-price GPU and AI hosting for Ollama, private LLMs and AI applications — right-sized around the model you actually need to run.
Tell us the model, current hardware and expected usage. We will recommend the lowest-cost configuration we believe can run it properly rather than automatically pushing you towards expensive enterprise GPU infrastructure.
Need ordinary website hosting instead of GPU compute? See Web Hosting & Care .
Working out how much VRAM or RAM your model needs? Read our Ollama server requirements guide .
Fixed monthly AI hosting
AI hosting plans
Start with the lowest-cost infrastructure that suits the workload. Larger models, more VRAM, additional RAM and specialist environments are priced individually.
Exact pricing depends on model, hardware, memory, expected usage and level of management.
From £119/month
GPU-backed infrastructure for technical customers who manage their own models, applications and software stack.
From £179/month
Linux, GPU drivers, an agreed AI runtime, monitoring and routine infrastructure management handled by Whiterock.
Custom quote
Larger models, additional VRAM or RAM, multiple users, specialist runtimes and demanding production workloads.
What can we host?
Ollama hosting
Keep supported Ollama models online without leaving a development PC running around the clock.
Private LLM hosting
Run supported open models on infrastructure allocated around your workload and privacy requirements.
AI APIs
Host an agreed inference runtime behind an API for applications that need predictable always-on access.
AI startup infrastructure
Move a model off a laptop or development machine and onto a server sized for the first real users.
llama.cpp & efficient runtimes
Where appropriate, we can use efficient runtimes and quantised models to reduce unnecessary GPU cost.
Custom workloads
Need a particular framework, model or GPU capability? We can assess it before recommending the server.
Do you really need the newest GPU?
Older GPU, lower monthly cost
Some inference workloads can run well on previous-generation NVIDIA hardware, especially when the software stack and model are chosen carefully.
Newer GPU, broader compatibility
Newer hardware can make sense when you need current CUDA support, more efficient acceleration or a framework that depends on newer GPU features.
VRAM often matters more than the badge
Model size, quantisation, context and concurrent users can matter more than simply choosing the newest card available.
How the AI Hosting Fit Check works
Tell us the model
Send us the model or software you run today and the current hardware if known.
Right-size it
We assess VRAM, system memory, compatibility, expected users and whether it needs to run 24/7.
Choose the lowest sensible tier
We recommend the least expensive setup we believe will deliver a usable result.
Deploy or manage
Choose infrastructure-only hosting or let Whiterock manage the agreed server and AI runtime.
What does managed AI hosting include?
Linux & security baseline
Initial server setup, sensible access controls and routine operating-system maintenance.
GPU software stack
Driver and agreed CUDA, ROCm or runtime configuration where it is appropriate for the selected hardware.
Agreed AI runtime
An agreed runtime such as Ollama or llama.cpp can be installed and kept available as part of the managed service.
Monitoring & recovery
Basic service monitoring, restart/recovery work and escalation of underlying infrastructure faults.
AI hosting FAQ
How much GPU do I need?
It depends on the model, quantisation, context size and concurrent users. That is why we start with a fit check rather than a fixed hardware list.
Can you host Ollama?
Yes, where the selected model and hardware are compatible. We can also assess other runtimes and frameworks.
Can I use an older GPU to save money?
Sometimes. Older cards can be good value for supported inference workloads, but newer software may require newer GPU capabilities.
Is custom AI development included?
No. Managed hosting covers the agreed infrastructure and runtime. Custom application development, model tuning and specialist debugging are quoted separately.
Do you only host in the UK?
UK hosting is a priority for suitable workloads, and European infrastructure can also be considered when it offers a better technical or commercial fit.
What if an API is cheaper?
We will say so. If dedicated hosting does not make financial sense for the expected usage, we would rather recommend the more practical route.
Running an AI model locally and want it online?
Send us the model, current machine and expected usage. We will recommend the lowest-cost hosting setup we would actually use.
Get an AI Hosting Fit Check