Devs pivot to Pi AI kits amid data center delays

The physical constraints of cloud compute are pushing developers back to the edge for specialized tasks.

• –The 13 TOPS Hailo-8L NPU allows a Pi 5 to run YOLOv8s at ~30fps locally without burdening the main CPU
• –Edge devices excel at continuous vision tasks like security camera analysis with zero query costs and high privacy
• –While unsuitable for large language models, low-power NPUs offer a highly pragmatic alternative to unreliable cloud APIs for targeted CNN workloads
• –This highlights a growing split: heavy LLM workloads stay in the cloud, while continuous vision tasks move to cheap edge hardware