Exalt Hybrid
Private AI
Route each workload to the right place: local hardware, Exalt Reserve, or an approved frontier API. Sensitivity, performance, and cost decide where it runs.
Use the right compute for
every task.
Route workloads between local models, private cloud infrastructure, and approved frontier models based on sensitivity, performance, and cost.
Exalt
Router
Exalt Edge
Exalt Reserve
Approved frontier API
How a workload is routed
- Internal document search goes to Exalt Edge when the data is sensitive, latency is tight, and a local model can do the work.
- Enterprise knowledge analysis goes to Exalt Reserve when the workload is private, needs more compute, and the customer's cloud is approved.
- Complex frontier reasoning goes to an approved frontier API when no restricted data is involved and a frontier model is approved.
Sensitivity
Restricted work stays on Exalt Edge or Exalt Reserve.
Performance
Latency and available compute decide the destination.
Cost
An approved frontier API is used only when the task and the customer's policy allow it.
Workloads can run on Exalt Edge, in Exalt Reserve, or at an approved frontier API.
Start with an audit
A first conversation about the data you have, the work you want AI to do, and what has to be true before it can.