theNET | Building resilient networks for AI applications

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AI models are far-reaching—pulling data from multiple points in the network: edge, mainframe, database, and cloud. In addition, AI workloads run in numerous places, often closer to data sources or users, to reduce latency. Networks must be broad, fast, and secure to support the speed and volume of data that AI workloads need. Read theNET.

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