What should we keep in the cloud and in the edge? Computationally intensive functionality will remain in the cloud, but more is shifting to the edge, driven by the higher efficiency of edge solutions and the need to keep more data and processing locally.
In this Sparring Partners, I talked to Manish Singh, Telecom Systems Business at Dell, about his perspective and vision for the edge, as the role and requirements of the edge evolve with AI, and on how to assess the edge/cloud tradeoffs.
Edge computing is not a one-size-fits-all solution: latency, power, cost, cooling, and security tradeoffsAI is reshaping both what networks do and where they do itMaking edge AI commercially viable with federated learning, lifecycle managementFrom manufacturing floors to retail shelves: how edge compute is reshaping operational efficiency across industriesMoving compute to the edge doesn't automatically mean more sustainable networksPhysical AI, AR glasses drive inferencing closer to the deviceLearn more on Dell PowerEdge here
More on Senza Fili at https://senzafili.com
Sign up for the mailing list at https://senzafili.com/senza-fili-mailing-list/ to receive invitations to Sparring Partners events and updates on what we do.