Edge Computing for Asset Management

Edge computing is the better choice when connectivity is unreliable, when data must stay on site for security or sovereignty reasons, or when decisions are needed faster than a cloud round trip allows. Remote mining sites, defence installations and offshore platforms are typical examples.

Yes. Our edge solutions integrate with sensor networks and SCADA systems to monitor asset condition and raise alerts in real time. Data is processed locally, so developing issues can be acted on immediately.

All processing happens on site, inside your own security perimeter. No asset data is sent to external cloud services, which supports data sovereignty requirements and keeps sensitive operational information under your control.

No. AMiPU processes asset data locally and works offline, so analytics keep running at remote or isolated sites where connectivity cannot be guaranteed.

AMiPU is SAS-AM's edge computing platform for asset management, running on NVIDIA GPU hardware. It runs machine learning models for failure prediction, anomaly detection and condition assessment on site, without internet connectivity or any transfer of data to the cloud.

Edge computing in asset management means processing asset data on hardware at or near the asset, instead of sending it to a cloud service. It suits remote sites, secure environments and real time monitoring, where connectivity, data sovereignty or speed rule out a cloud round trip.