Edge-Ai

The Hailo-8 (26 TOPS) is the clear winner for any Frigate build beyond four cameras, and the Hailo-8L (13 TOPS) has taken over as the sweet spot for mid-tier setups of six to ten cameras. The Google Coral Edge TPU (4 TOPS) is still a defensible pick for ultra-budget one-to-three-camera Raspberry Pi builds where an M.2 slot or spare USB port is already sitting idle, but the Hailo-8L usually beats it on price per TOPS even in that range. Reach for Coral when the only goal is stopping Frigate from melting a Pi’s CPU. Reach for Hailo-8 when there is headroom to grow into YOLOv8, higher resolutions, and future model upgrades.

The consumer SBC market in 2026 is not dead. It is just no longer what it was sold as. Raspberry Pi, Orange Pi, Rock Pi, and the rest of the single-board computer crowd now ship 70-80% of their units to industrial customers. Think factory automation, digital signage, point-of-sale terminals, and medical devices. The $35 computer that was meant to put a hackable Linux machine in every teenager’s bedroom is now more likely bolted inside a mall vending machine.

Small Language Models, sub-4B parameter models built to run on local hardware, now handle most of the edge AI work that used to need the cloud. Phi-4 , Gemma 3 , and Llama 3.2-1B run offline on Raspberry Pi boards, phones, and industrial PLCs. The economics, latency, and privacy story all point the same way: edge first.

What Counts as a Small Language Model

In 2023, “small” meant under 13B parameters. Today, three tiers matter for edge work.