Multi-year commitment
A new multi-year agreement enables CSP Solutions to deliver large-scale AI compute and inference within client-controlled environments, combining GPU infrastructure, MLOps tooling, and managed services under a single sovereign delivery model.
What's included
The partnership bundles access to current-generation GPU capacity, an MLOps stack for training, fine-tuning, and inference orchestration, a model governance layer with audit and policy controls, and a managed service wrap so client teams can focus on use cases rather than infrastructure operations.
Deployment options
Workloads can run inside a CSP-operated sovereign region, inside the client's own data centre, or in a hybrid pattern that keeps sensitive data on-premise while bursting non-sensitive compute to the sovereign cloud. The same control plane and observability surface span all three modes.
Why it matters
Clients increasingly want the performance of frontier AI without surrendering control of their data or models. This expanded partnership gives them the path to scale training and inference workloads inside their own perimeter.
Who it's for
The offering is built for ministries, regulators, national champions, and large enterprises in regulated sectors — organisations that need frontier model performance but cannot send training data or prompts to public model providers.