Existing on-premises and centralized cloud infrastructure can’t support the vast computing needs of powerful AI/ML driven applications in and around manufacturing, which require low latency—or data-transfer delay—to smoothly transport and get real-time access to data. To reduce latency and bandwidth use, as well as rein in costs, computing power and processes must be closer to the physical location of the data. The solution? Move computing power to local infrastructure at the “edge” of the network, rather than relying on distant data centers

Read the entire blog here.