Local and private model management
Bring local, private-cloud, and offline models into one operating model
Govern local and cloud models through a consistent catalog, identity, policy, and workload-placement model.
Global models
Local models
Local deployment solves location, not operating discipline
Model silos
Local and cloud models are exposed through different access and identity systems.
Opaque resources
Capacity, queues, availability, and ownership lack a shared view.
Unclear workload fit
Teams lack a repeatable way to place workloads locally or in the cloud.
Place workloads by data, capability, and cost
AIPay includes local models in the enterprise model catalog and applies consistent identity and routing to people, systems, and Agents.
Model registry
Track version, capability, location, owner, and intended use.
Unified access
Reuse enterprise identity, roles, and project boundaries.
Runtime visibility
Observe availability, queues, calls, and core resource indicators.
Hybrid routing
Route tasks between local and global cloud models by policy.
Typical deliverables
- Local model and capacity inventory
- Unified access and identity design
- Workload-placement rules
- Monitoring and operating guide
Who this is for
- Organizations with local models or GPU capacity
- Teams requiring offline processing for sensitive workloads
- Enterprises adopting a hybrid model architecture
Next step