Cloud-based fleet and asset management for edge computing of machine learning and artificial intelligence workloads
US11907093B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 5, 2023 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Sep 5, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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 for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.