The rapid advancement of AI is transforming industries. Today’s businesses need decision-making speed, operational resilience and personalized experiences to maintain competitive advantage. They also need to meet changing consumer and enterprise expectations for acceptable performance. Proximity-based AI infrastructure at the edge is essential for meeting these rising standards. The AI landscape is evolving, from training AI models in centralized locations to a more distributed paradigm that includes workload inference at the edge. It’s due in part to the rise of agentic AI inference, which makes decisions at the edge and relies on low latency. Newer AI models are more specialized and…

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