Private deployment

Keep the data inside. Keep the bill down.

Run the same Nova inference stack on dedicated capacity inside your own cloud, region or on-prem — tuned to your models, your quantisation and your workload.

For regulated & enterprise teams

For regulated teams the blocker was never capability, it was the boundary: every third-party call is a processing event that moves controlled data out of your perimeter. 44% of organisations name data privacy the top barrier to adoption, and Gartner expects 40%+ of AI-related breaches to trace back to improper cross-border use by 2027.

44%name data privacy the number one barrier

40%+of AI breaches cross-border by 2027

0bytes leaving your perimeter

Run open models on dedicated capacity in your own region or VPC. Nothing crosses the boundary, there is no ambiguity about who processed what — and the same memory-hierarchy economics apply inside your walls, so staying compliant stops costing a multiple of the public rate.

Where

Your VPC · your region · on-prem

Tuned to you

Model mix, quantisation, hardware

Engage

Design call → pilot → production

Tell us about your workload.

We scope each private deployment individually — models, context profile, throughput target and the hardware underneath.