The AI ecosystem is diverse, and different players have different priorities when it comes to scaling their infrastructure: Neoclouds are primarily concerned with scaling up, because they need to meet massive demand for compute capacity from enterprise customers. The enterprise customers themselves are typically more concerned with scaling out to support distributed workloads such as agentic AI across many different locations. Many enterprises find scaling out AI infrastructure challenging because it’s so different from what they’ve done in the past. They typically started their AI journeys in the public cloud, and they were content to let someone else worry about scaling on…

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