The GPU infrastructure your AI actually needs.
Fully managed NVIDIA GPU hosting for the full AI lifecycle — model training, fine-tuning, high-throughput inference, and render/HPC workloads. No hardware procurement, no driver wrangling, no operational complexity. Just serious compute, managed end to end.
- uptime SLA
- 99.9%
- enterprise GPU hardware
- NVIDIA
- data centre infrastructure
- UK
- managed support
- 24/7
Why managed GPU hosting?
Running GPU infrastructure is genuinely complex. Between hardware procurement and lead times, driver and CUDA management, thermal monitoring, networking, scaling and security, it pulls your most skilled engineers away from the work that actually matters: building AI.
We take all of that off your plate. Our fully managed GPU hosting gives your team enterprise-grade compute on demand — without the capital expense, the lead times, or the DevOps burden of owning and operating the hardware. The GPU is the substrate; if you want a ready-made private AI product on top of it, see our Private LLM hosting.
Built for serious AI workloads
Whatever stage of the AI lifecycle you are at, we size and manage the infrastructure to match.
Model training
Multi-GPU and multi-node configurations for training and large fine-tuning runs, with high-bandwidth interconnect and fast storage so your runs are GPU-bound, not I/O-bound.
Fine-tuning & RAG
Right-sized single- or multi-GPU environments for parameter-efficient fine-tuning, embeddings and retrieval-augmented generation pipelines on your own data.
High-throughput inference
Low-latency, autoscaling inference serving for production AI features — optimised with modern serving stacks to maximise tokens-per-second per pound.
Generative media
GPU pipelines for image, video and audio generation — sized for fast iteration on diffusion and other generative models in tools your team already uses.
Vector search & embeddings
Generate and serve embeddings at scale for semantic search and RAG, running close to your models and data for low latency.
Render & HPC
GPU compute for rendering, simulation and other high-performance workloads that need burst capacity without a permanent hardware commitment.
NVIDIA hardware tiers
Indicative configurations — we right-size to your workload.
| Feature | Single-GPU | Multi-GPU node | Multi-node cluster |
|---|---|---|---|
| GPUs | 1 enterprise GPU | 2–8 GPUs in one node | Multiple nodes, 8+ GPUs |
| Best for | Inference, fine-tuning, dev | Training & heavy fine-tuning | Large-scale distributed training |
| Interconnect | — | High-bandwidth intra-node | High-bandwidth + node-to-node fabric |
| Scaling model | Add GPUs / step up | Scale within the node | Add nodes as you grow |
Every workload is different. Tell us what you are running and we will right-size the configuration and quote it.
Supported stacks & tooling
Bring the tools your team already uses — we run them, you build.
- Ollama
- vLLM
- ComfyUI
- Docker
- Kubernetes
- Custom inference stacks
- PyTorch / TensorFlow
- Open-source models (Llama, Mistral, Qwen, DeepSeek)
- Your own training frameworks
Why not just rent raw hyperscaler GPU?
- Fully managed We handle drivers, CUDA, scaling, patching and monitoring — not your engineers.
- UK data sovereignty Infrastructure in UK data centres; your data and models stay in the UK.
- Right-sized, not over-provisioned We match the configuration to your workload so you are not paying for idle GPUs.
- Human 24/7 support A UK team that knows your environment — not a ticket queue and a status page.
Who is this for?
- AI and machine learning teams that need serious GPU compute without the capital expense of owning hardware
- Enterprises exploring or scaling AI adoption who need managed infrastructure rather than internal DevOps overhead
- Software companies building AI-powered products that need reliable, scalable inference infrastructure
- Research teams and universities running training workloads that require burst capacity
- Organisations that need a packaged, sovereign private AI product — see our Private LLM hosting
Looking for a ready-made private AI platform?
GPU hosting gives you the raw compute. Private LLM hosting is the packaged product on top of it: a fully managed, private AI chat platform deployed in your own AWS environment or on an on-premise NVIDIA appliance — so your team gets AI without your data ever leaving your boundary.
Certified & accredited
Talk to us about GPU hosting
GPU hosting requirements vary significantly. Tell us about your workloads and we'll recommend and quote the right configuration.