Computer systems designer Nvidia has launched its Fleet Command managed edge AI services platform, which could help companies solve the problem of securely deploying and managing AI applications across thousands of locations.
Nvidia Fleet Command’s remote management software is said to let businesses securely roll out and manage their AI applications without sacrificing the real-time processing of edge computing. Specifically engineered to ease a company’s IT burden, Fleet Command helps democratise AI everywhere by letting users quickly install, update and manage software from a central location.
Manuvir Das, head of Enterprise Computing at Nvidia, said: “The ability to deploy and manage AI applications at the edge is one of the most complex problems facing businesses as they move toward an Internet of Things era, including smart factories, intelligent retail and smart cities.
“Nvidia Fleet Command drives efficiency across a business, helping scale edge AI with unprecedented speed.”
Within minutes of installation, VIDIA says its platform lets administrators add or delete applications, update system software over the air, and monitor the health of devices spread across vast distances.
The AI deployment and management tool, offered by subscription from Nvidia, can be combined with Nvidia Base Command, a cloud-hosted development hub that lets enterprises quickly move their AI projects from prototypes to production. The platforms together could allow businesses to quickly conceive, deploy and manage edge and industrial AI.
Data Monsters has been one of more than a dozen early access partners using Fleet Command. The AI consultancy is working with one of the world’s largest beverage companies to deploy and manage software across its many manufacturing facilities to catch dents and wrinkles in consumer cans through computer vision, and to notify employees when problems arise.
German Suvorov, head of Industrial AI at Data Monsters, said: “Fleet Command provides a unified approach for secured deployment and management of computing resources at scale, including hardware resources provisioning, deployment automation and monitoring. And it provides integration with Nvidia GPU Cloud – a single global and private registry for application containers and DNN models.
“All these features enable seamless scaling of our edge AI applications over a network of manufacturing sites globally.”
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