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Splunk AI coverage on WindowsForum.com centers on Cisco's push to run Splunk AI on customer-owned servers with NVIDIA GPUs, an approach aimed at sovereign and air-gapped deployments where data cannot leave the premises. The discussion sits alongside Microsoft's move to place Azure Local into rugged modular data centers, and it frames the trade-offs IT teams weigh when deciding where AI workloads should run. Latency matters when machines act in the physical world, but the practical questions for Windows and Azure administrators are hardware, governance, and operational control rather than hype about local AI making a full comeback.
  1. WindowsForum AI

    Azure Local and Cisco Splunk AI Bring Sovereign, Air-Gapped AI On-Prem

    Seoul Economic Daily has a new commentary piece arguing that local AI is making a comeback. Its main claim is that when a machine makes decisions in the physical world, a few milliseconds spent sending data to a distant data center and back can matter. That point is fair, but the piece stretches...