AI infrastructure operated inside the customer's own environment under full operational and security control.
Self-hosted AI is AI infrastructure deployed inside the customer's own environment — typically a customer-controlled cloud account or an on-premise data center — rather than as a multi-tenant SaaS deployment under the vendor's operational control. The customer's infrastructure team operates the deployment; the vendor provides the software, runbooks, and version-update guidance but typically doesn't have operational access to the customer's environment.
Self-hosted AI is the choice for customers whose security or sovereignty requirements rule out vendor operational access, or whose existing cloud commit makes self-operation economically attractive. The trade-off is operational ownership: the customer's infrastructure team handles day-2 operations, monitoring, patching, and capacity planning. In exchange, the customer keeps full control over the environment.
Self-hosted AI is increasingly common for regulated industries, sovereign deployments, and customers with mature cloud-infrastructure operations. The deployment-posture choice is one of the most consequential procurement decisions in enterprise AI adoption.
Self-hosted deployment in customer's AWS / Azure / GCP account using customer-managed encryption keys
On-premise deployment in customer's data center under customer's existing operational and security policy
Air-gapped deployment for sovereign or classified-adjacent workloads
Beth supports self-hosted deployment as one of five deployment postures (alongside cloud-hosted, dedicated-instance/VPC, on-premise, and hybrid). In self-hosted, the customer's infrastructure team operates the deployment using Huper-provided runbooks; Huper has no operational access. Updates and patches flow through the customer's standard change-management process. Most often used by customers with mature cloud-infrastructure operations capability who want cloud convenience with on-premise-style operational control.
On-premise AI runs inside the customer's own data center; self-hosted AI more typically runs in customer-controlled cloud infrastructure (the customer's AWS/Azure/GCP account). Both share the property that the customer operates the deployment; the difference is whether the underlying infrastructure is the customer's data center or the customer's cloud account.
Yes — and arguably it's the most compliance-friendly posture for customers with mature cloud operations. The customer's existing security tooling (CSPM, CWPP, SIEM) applies to the deployment, and audit logs flow into the customer's existing logging infrastructure.
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