Large, contiguous clusters for training runs, typically on the latest accelerators with high-bandwidth fabric and firm delivery dates.

Capacity close to end users, often across more than one jurisdiction, where availability and cost per token matter more than peak scale.

Mixed training and simulation workloads that need flexible terms and capacity that can grow with the programme.

Reserved capacity for fine-tuning and private inference, frequently with EU data-residency and procurement requirements.