From the network center to the edge - how Raspberry Pi predicts the direction of travel for AI compute will look

Raspberry Pi’s CEO argues that AI inference is rapidly moving from centralized infrastructure to the edge, driven by falling compute requirements and the need for better reliability, lower cost, stronger privacy, and improved security. For CIOs and technology leaders, this signals a strategic shift toward embedding intelligence in products and workflows without building full internal hardware teams, while increasing the importance of edge architecture, vendor partnerships, and supply-chain resilience. IT organizations should expect more demand for managed edge compute platforms and greater pressure to balance performance, compliance, and long-term device support across distributed deployments.