The potential value of applications and services with embedded AI deployed near edge devices is nearly limitless. A major challenge that must be addressed is the management complexity that comes with distributed systems. The development of an efficient tool-set and processes to manage the ever-growing number of edge devices that organizations are deploying has never been accomplished at the scale needed for many edge computing scenarios.

The most common approach to developing tools for systems management of distributed computing systems is to separate the functions that manage the system from the functions that do the work of the system. An example of this approach is to have one system to communicate status and a separate system to make operational decisions for several interrelated components. The terms “control plane” and “data plane” are the two most commonly defined subsystems in distributed computing. Because the goal of edge computing is to restrict most of the heavy data movement to an area near the devices, the requirements for the data plane are less complex. The bigger challenge for the design of edge computing systems is providing a scalable, secure control plane.

Figure 1.              Managing the enterprise edge with the Fleet Command cloud console

Fleet Command enables organizations to easily deploy and manage a growing number of AI applications for many industries and public sector use cases.  The Fleet Command controller can be accessed from a centralized cloud service including private clouds or a public cloud service provider.

Fleet Command streamlines automated deployments by managing fleets of devices connected to physical edge devices. Customers can easily choose to which locations the AI applications are deployed and are continuously updated.

Administrators can centrally monitor health and remotely fix systems, and with one-click updates, simplify AI operations at scale. Fleet Command is the tool for organizations to effectively make AI operational at the edge.

Fleet Command connects with NVIDIA-Certified Systems™ at edge locations for end-to-end security protocols, and it minimizes application downtime with a resilient software platform.