Ready-to-use compute, storage, cloud and AI workload infrastructure for clients that need capacity without building facilities first.
Capacity services bridge hardware assets, data-centre environments and customer-facing compute workloads.
GPU and high-performance computing resources for training, inference, fine-tuning and scientific workloads.
Cloud and private-cloud environments for enterprise, regulated and internal transformation workloads.
Storage capacity services for data-intensive AI, analytics and infrastructure projects.
Model-serving environments, batch workloads and application infrastructure for AI products.
Flexible project-based or recurring usage models based on workload requirements.
Convert infrastructure capacity into usable digital services for customers and downstream platforms.

Use the capacity page as an entry point for AI projects, enterprise cloud needs and data-intensive workloads.