Requirements & development discussions
We welcome discussions with AI teams and enterprises about workload, scale, location and commercial requirements.
Discuss computeThe workload comes first.
We are developing a pathway from dedicated energy and high-density infrastructure to GPU compute. The integrated U.S. pilot is the starting point.
Capability in developmentWORKLOAD / DEVELOPMENT BRIEFIn development
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Design for sustained work.
Establish the cluster, storage and interconnect requirements alongside power and cooling. The development scope follows the workload.
- Cluster architecture
- Sustained load
- Data movement
Requirement explorer, not a capacity quote. Live GPU availability and service launch dates are not currently published.
A clear view of what comes next.
Integrated U.S. pilot
The pilot is being developed to bring dedicated energy, modular infrastructure and compute integration into one deployment.
View the pilotDedicated & managed capacity
Dedicated GPU infrastructure and managed GPU capacity are intended service routes, subject to commissioning and agreed customer terms.
Live GPU availability and service launch dates are not currently published.
Design around the workload.
Private capacity with a defined purpose.
Develop dedicated clusters and bare-metal infrastructure around training, fine-tuning or inference requirements.
Treat the cluster as a system.
Align interconnect, network architecture and GPU-optimised storage with the workload, data and operating model.
Connect compute to the physical design.
Bring rack density, cooling, power distribution and commissioning into the same deployment specification.
Define the service before deployment.
Develop compute-management, support and service responsibilities with specialist providers and the customer.
Begin with the requirement, not a hardware list.
Tell us what you intend to run, the level of control you need, your preferred location and the expected duration. These determine the infrastructure, service scope and commercial discussion.
WorkloadCapacityLocationTimingService model
Shape your compute requirement with us.
For dedicated GPU infrastructure, private AI compute or future managed capacity.
Discuss compute