An apparatus can be configured to receive monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration associated with at least one edge compute unit of the fleet. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
Cloud-based fleet and asset management for edge computing of machine learning and artificial intelligence workloads
2024-06-18
Patent
Elektronische Ressource
Englisch
Fleet and asset management and interfaces thereof associated with edge computing deployments
Europäisches Patentamt | 2024
|Unmanned edge computing equipment based on artificial intelligence
Europäisches Patentamt | 2021
|Early Failure in Probabilistic Asset Fleet Management
AIAA | 2018
|