I wanted a small and portable rt-ai Edge node using the Neural Compute Stick for demos and decided to base it on a Gigabyte BRi7H-8550 compact PC as it is the lowest cost, smallest footprint, device that I could find with a decent i7 CPU. This is fitted with 16GB of DDR4 DRAM and a 256GB NVMe M2 disk. Previously I needed a mini ITX board along with a GPU which is much bigger and heavier as can be seen below.
The node is running Ubuntu 16.04 along with standard rt-ai node management software and performs very nicely. A second NCS can be fitted on the front USB port and a small USB hub could be used if more than two are required. For demo purposes, a Windows or Ubuntu laptop runs rtaiDesigner for GUI-based control and status with the node acting as a headless inference server.
While this is primarily intended as a demo device, it would actually be quite a nice embedded inference node.