01
Runtime Unified private serving
Expose approved language, coding, symbolic, and multimodal models inside the selected boundary.
Blueprint use case Enterprise pattern
Private model serving and routing
Serve QGI, open, and approved frontier models through one customer-controlled runtime with workload-aware routing and observability.
Scoped enterprise engagement · Suggested model mix: QGI models, approved open and frontier models, QGI Fusion routing, private inference infrastructure, and policy controls.
What it is
Enterprises accumulate separate model endpoints, routing logic, security controls, and monitoring layers that make cost, performance, and governance difficult to manage consistently. QGI approaches this as a governed application pattern rather than a standalone point solution.
Designed for Enterprise AI platform and model operations.
Capabilities
Built around the work—not the demo.
02
Fusion Workload-aware routing
Select models and tools according to task, risk, latency, cost, and data policy.
03
Operations Operational visibility
Monitor model selection, performance, failures, policy decisions, and capacity without exposing customer data.
How it works
One governed path.
- 01
Approve the model estate
Define permitted models, deployment targets, data classes, and operating constraints.
- 02
Configure routing and capacity
Map workloads to the appropriate models, accelerators, fallbacks, and service levels.
- 03
Operate with evidence
Track routing, performance, policy enforcement, and changes as a governed platform record.
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QGI / Blueprint use case
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