Private, scalable cloud compute — fully under your control. No shared tenancy, no cross-tenant data risk, no compromise.
ThinkVault's AI Cloud gives you the elasticity of public cloud with the security posture of on-premises infrastructure.
A fully isolated cloud environment — your dedicated control plane, your networking, your storage. No resource sharing with any other customer. Complete logical and physical isolation at every layer.
Extend your on-premises AI environment into ThinkVault's cloud with private peering and encrypted backplane connectivity. Run workloads across both environments with unified orchestration and a single management pane.
Scale GPU capacity up or down within minutes based on training job queues, inference load, or experimental batch work. Pay for capacity when you need it — no wasted idle cycles or over-provisioning required.
Public cloud AI services come with hidden costs: model exposure, inference logging, regulatory risk, and vendor lock-in. Private cloud eliminates all four.
On public AI clouds, your inference inputs may be logged, analyzed, or used for model improvement. On ThinkVault's private cloud, your data stays entirely within a boundary you define and control. No exceptions, no asterisks.
Industries like healthcare, finance, and government operate under strict data locality and processing rules. A private AI cloud with defined data residency and audit trails makes compliance achievable — not aspirational.
ThinkVault's private cloud runs on open standards: Kubernetes, Terraform, standard APIs. Your models and workloads are portable. If your strategy evolves, your infrastructure evolves with it — without rewriting everything.