GPU as a Service
Hourly GPU capacity for AI and visual computing workloads.
GPU as a Service is designed for compute-intensive workloads such as AI model training and inference, visual processing and engineering simulation.
You rent the capacity you need for as long as you need it, without the capital cost of purchasing GPU hardware. Common libraries and frameworks are supplied as pre-built images.
Setup and migration included
Migration from your existing systems, installation and configuration are part of the service — no separate project fee.
Redundant architecture
Every component is built with N+1 redundancy; a single hardware failure does not interrupt the service.
24/7 monitoring
Your systems are continuously monitored by our NOC team, and most issues are resolved before you notice them.
Frequently asked about this service
How does pricing work?
You are billed monthly on the resources you consume. Capacity can be increased or reduced during the month, and the unit price stays fixed for the term of your commitment.
How long does migration take?
It depends on the size of the environment. For a typical mid-sized organisation, assessment, planning and migration takes two to six weeks. Cutover is usually scheduled for a weekend or outside business hours.
What happens to my data if I terminate?
A full copy of your data is delivered in the agreed format. It is then destroyed from our systems through a defined and reportable process.