NVIDIA Fleet Command gets new features for improved Edge AI Management and Maintenenance
Fleet Command now offers advanced remote management, multi-instance GPU provisioning, and additional integrations with tools from industry collaborators.
NVIDIA Fleet Command — a cloud service for deploying, managing, and scaling AI applications at the edge — now includes features that enhance the seamless management of edge AI deployments around the world.
With the scale of edge AI deployments, organisations can have up to thousands of independent edge locations that must be managed by IT teams — sometimes in far-flung locations like oil rigs, weather gauges, distributed retail stores or industrial facilities.
NVIDIA Fleet Command offers a simple, managed platform for container orchestration that makes it easy to provision and deploy AI applications and systems at thousands of distributed environments, all from a single cloud-based console.
But deployment is just the first step in managing AI applications at the edge. Optimising these applications is a continuous process that involves applying patches, deploying new applications, and rebooting edge systems.
To make these workflows seamless in a managed environment, Fleet Command now offers advanced remote management, multi-instance GPU provisioning, and additional integrations with tools from industry collaborators.
You can learn more about the latest features of NVIDIA Fleet Command here.
