Serve a model on your own GPUs
The GPU fleet, a model from the in-cluster registry, NVIDIA Dynamo, an endpoint that never leaves the cluster, and what it costs.
Ready to get started?
Deploy sovereign AI on your infrastructure - in weeks, not months.
I look after the infrastructure
Your GPUs, a model registry inside the cluster, an endpoint that never leaves it. Nothing in these stories calls out to a cloud provider.
2 stories, in order
The GPU fleet, a model from the in-cluster registry, NVIDIA Dynamo, an endpoint that never leaves the cluster, and what it costs.
Three people, one gate: a builder ships an agent, a different admin approves it, everyone uses it.
No form in front of any of them. The demo opens on live data and you can leave the script at any point.
Proof
Public reference
KAUST ran the full platform in-country, in the university’s own environment: Work Room, Studio and Control Room. Read it →
In-countryhosting
Source: The v2.2.2 wording (28 Sep 2026) that replaced "0 bytes left country" and "zero data egress" site-wide.
Where this door leads
This door leads to
The next product up
Added on the same cluster and the same licence; nothing the smaller product had is lost.
Next step
Thirty minutes with someone who has run these deployments. Buying through a partner? Say so, and we bring them in.