A software control plane that unifies thermal telemetry, digital twins, anomaly detection, and workload placement across dense AI infrastructure.
| Deployment | On-prem / Cloud / Hybrid |
| Integrations | Redfish, OpenBMC, DCIM, SNMP |
| API | REST + gRPC + WebSocket |
| Dashboard | Real-time rack thermal map |
| Analytics | Predictive anomaly detection and thresholding |
| Controls | Thermal policies and workload placement recommendations |
Digital twin visibility
Rack telemetry orchestration
Operators that need a control plane for telemetry, alerts, and thermal behavior across dense racks and pods.
Organizations looking for predictive signals and fleet-wide thermal context before failures interrupt utilization.
Teams feeding thermal constraints into workload placement, policy engines, and infrastructure orchestration.
Visualizes thermal behavior across racks, slots, and endpoints in a live operational model.
Uses learned baselines and streaming telemetry to warn before failures occur.
Feeds thermal constraints into scheduling and workload placement decisions.
Feed the platform with edge telemetry and anomaly signals from every critical interconnect zone.
View Product →Connect ThermalOS to thermally integrated backplanes to track signal and heat behavior together.
View Product →Bring pooled-memory thermal zoning and orchestration into the same operational dashboard.
View Product →