Nvidia moves AI closer to the Edge

Stefan Mileschin · 21st July 2022, 08:42

Fleet Command gets new features

A year after the company launched Fleet Command, a cloud-based service for deploying, managing, and scaling AI applications at the edge, Nvidia ahs launched new features that help address the distance between these servers by improving the management of edge AI deployments.

For those not in the know, Edge computing is a distributed computing system with its own set of resources that allows data to be processed closer to its origin instead of having to transfer it to a centralised cloud or data centre. The idea is that it speeds up analysis by reducing the latency time involved in moving data back and forth. Fleet Command is designed to enable the control of such deployments through its cloud interface.

Nvidia product marketing manager Troy Estes wrote in a blog post. “In the world of AI, distance is not the friend of many IT managers unlike data centers, where resources and personnel are consolidated, enterprises deploying AI applications at the edge need to consider how to manage the extreme nature of edge environments.”

https://fudzilla.com/news/ai/55179-n...er-to-the-edge

21st July 2022, 08:42	#1
Stefan Mileschin [M] Reviewer Join Date: May 2010 Location: Romania Posts: 148,964	Nvidia moves AI closer to the Edge Fleet Command gets new features A year after the company launched Fleet Command, a cloud-based service for deploying, managing, and scaling AI applications at the edge, Nvidia ahs launched new features that help address the distance between these servers by improving the management of edge AI deployments. For those not in the know, Edge computing is a distributed computing system with its own set of resources that allows data to be processed closer to its origin instead of having to transfer it to a centralised cloud or data centre. The idea is that it speeds up analysis by reducing the latency time involved in moving data back and forth. Fleet Command is designed to enable the control of such deployments through its cloud interface. Nvidia product marketing manager Troy Estes wrote in a blog post. “In the world of AI, distance is not the friend of many IT managers unlike data centers, where resources and personnel are consolidated, enterprises deploying AI applications at the edge need to consider how to manage the extreme nature of edge environments.” https://fudzilla.com/news/ai/55179-n...er-to-the-edge

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