Local models need a managed platform around them
Weights, runtime and hardware enable inference. Workspace, knowledge and operating responsibilities make it useful to a company.
From the implementation side
Insights
Ideas, field notes and practical perspectives on putting AI to work.
Sovereignty
4 articles
Data location, model origin and operating control
Residency is one part of sovereignty. Review inference, access, retention and approved fallback routes too.
Cloud inference: shared service or dedicated GPU?
The workspace and the model do not necessarily run on the same infrastructure. Define both before comparing costs.
Sovereign AI, in the cloud or in your company
Start with control over data, models and access. Then choose the deployment that fits your company.
Put an idea to work.
Bring the idea into your workspace. Explore dedicated cloud or on-premise with our team.