Factory Private
Enterprise AI
EU AI deployment beyond the regional endpoint
September 24, 2026 - 2 minute read
EU AI deployment can satisfy a requirement to keep engineering sessions and inference in Europe without transferring control-plane ownership to the customer. An organization that also requires customer-operated infrastructure has a different procurement requirement. Those decisions should remain separate in the architecture review.
Factory’s regional deployment documentation makes the distinction concrete. The EU deployment has its own backend, database, and inference endpoints. Session content stays in Europe. Organization pointer records, user profiles, and billing data remain in the global deployment.
That last detail matters. “EU deployment” should not become shorthand for “every category of data is EU-only.”
EU AI deployment starts with data categories
Write the requirement against the information the agent handles. Repository content used in a prompt, tool results, session messages, authentication records, and billing records may have different owners and retention rules. Review each category with the team responsible for it.
Factory documents that EU organizations use EU-region inference endpoints. Models or providers unavailable in that region are hidden from the picker and rejected server-side. That is an enforceable product behavior, but it still leaves the organization responsible for deciding which providers meet its contractual and legal requirements.
Map integrations separately. A ticket, document, or trace pulled from another system has its own access and storage conditions. A regional agent deployment does not relocate those connected systems or rewrite their contracts.
For the pilot, use representative but approved content. Follow it from the repository through inference and into the retained session. Include a denied model selection in the test, then verify the configuration and observed result rather than relying on the label in the user interface.
EU AI deployment and customer ownership differ
Factory Private places the control plane in customer infrastructure. Organizations can deploy it in a VPC or on-premises environment, with airgapped configurations available. This introduces operating responsibilities for infrastructure, upgrades, model availability, and recovery.
The distinction is visible in the Private launch. NVIDIA’s Nemotron research team used Factory on-premises for post-training work. Jian Zhang said the team improved Nemotron 3 Ultra’s capabilities “while keeping our code, models, and other critical IP within our own infrastructure.” That example concerns a research environment, not an EU residency certification or a general promise about every deployment.
Choose regional hosting when its documented data allocation and provider arrangements meet the requirement. Choose customer-controlled deployment when policy requires ownership of the control plane or a stronger network boundary. A fully disconnected environment also needs approved local inference and an offline dependency process.
The resulting decision should name the data classes, approved regions, operators, model services, and exceptions. Attach the relevant contracts and test evidence. This gives security and procurement teams something more useful than a regional badge.
Revisit the record when enabling a connector, changing model providers, or adding telemetry content. Each can introduce a new data path even when the original deployment stays in the same region.
