Define a useful first application
Identify the decision or workflow to improve and the evidence that will show whether the pilot works.
AI compute
Assess the use case, data, model and operating requirements before committing to compute. Start with a bounded workload and a measurable outcome.
Discuss an AI workload
AI hub
Compute, cooling and power systems brought together for dedicated AI and cloud operator requirements.
Explore our deployment systems ↗An AI pilot needs more than GPU access. Data permissions, model suitability, integration, performance and support all shape whether it can become a useful operational service.
Where it fits
What the service needs to establish
Identify the decision or workflow to improve and the evidence that will show whether the pilot works.
Agree where processing occurs, what can leave the environment and which access and governance controls apply.
Assess compute, model/runtime, connectivity, integration and operating roles with the relevant specialist providers.
AI and cloud operators have a dedicated technical and commercial pathway.
The agreed scope may involve specialist application or model partners. DynamicDC focuses on the compute environment and delivery pathway; responsibilities are defined for the engagement.
No. Connected, restricted and isolated environments have different requirements. The design follows the data, model and operational needs.
Use our AI & cloud partner route for staged facility development, site qualification and a technical/commercial discussion.
Connected needs
Bring the systems, location and service requirement.