GPU Hosting

GPU hosting is a server hosting service where each machine includes a dedicated graphics processing unit (GPU) alongside the CPU, RAM and storage. This gives you massively parallel compute power for workloads like AI training, LLM inference, 3D rendering, video encoding and scientific simulation — tasks where a CPU alone would be orders of magnitude slower.

Cloud GPU hosting typically means a virtualised slice of a shared GPU — you pay by the hour and share hardware with other tenants. Dedicated GPU hosting, like what GigaGPU offers, gives you an entire physical server with its own GPU card. There’s no virtualisation overhead, no noisy-neighbour issues and full root access. For workloads that run 24/7, dedicated GPU hosting is often significantly cheaper than cloud GPU alternatives.

GigaGPU specialises in dedicated GPU servers purpose-built for AI workloads. Every server ships with a full NVIDIA or AMD GPU, NVMe storage for fast dataset loading, up to 128 GB of system RAM, and a 1 Gbps network link. You get bare-metal performance with no virtualisation tax, plus 24/7 support from engineers who understand CUDA, PyTorch and model deployment. Our UK datacenter also keeps your data under UK jurisdiction.

Yes. Our entry-level RTX 3050 server is one of the most affordable dedicated GPU hosting options available, and it still comes with a 99.9% uptime SLA, NVMe storage and 24/7 support. For more demanding work, the RTX 3090 and RTX 4060 Ti 16 GB offer excellent performance per pound. We keep costs low by owning our own hardware and datacenter infrastructure rather than reselling cloud capacity.

Startups typically need affordable entry points that can scale. We’d recommend starting with an RTX 4060 or RTX 4060 Ti 16 GB server — they offer strong AI inference performance at a low monthly cost with no contracts. When your workload grows, you can upgrade to an RTX 3090, RTX 5080 or multi-GPU configuration. We also offer trial servers so you can benchmark before committing.

Serverless GPU platforms charge per invocation and can have cold-start latency, making them suited to bursty, low-frequency workloads. Dedicated GPU hosting gives you an always-on server with predictable performance and fixed monthly costs — ideal when your GPU is utilised for hours each day. There’s no cold-start penalty, no per-request billing, and you retain full control of your software stack.

Yes. All servers can be configured with your choice of operating system (Windows or Linux), RAM allocation, and storage size during checkout. If you need a custom build — multi-GPU, additional NVMe drives, or a specific CPU — contact our sales team for a tailored quote.

All servers are located in our datacenter in the North West of England, connected via multi-gigabit fibre with low-latency peering to UK and European internet exchanges. This makes GigaGPU a strong choice for customers who need UK-based GPU hosting for data residency or latency reasons.