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Infrastructure for AI at the Edge

A vitally important but often overlooked component of the infrastructure strategy for AI workloads is the need to balance cloud resources with intelligence at the “edge”—in operational environments like warehouses, manufacturing plants, retail outlets, hospitals, and roadways. Initial AI applications have focused on cloud services, but as both AI models and computational resources become “thinner and lighter,” the utility of AI at the edge will be essential.

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