Revolutionizing AI at the Edge with the New Release of ioFog 3.0
summary
ioFog 3.0 adds an application templating language (Liquid JS YAML) and an edge application templates workflow plus an edge resources model that maps cameras and accelerators to nodes; demo builds a Python app on an x86 Mac, uses Docker buildx to produce a multi-arch docker build (amd64, arm64, armv7), pushes the image, then deploys the DARCY AI Explorer to a Raspberry Pi with a Google Coral accelerator where it runs with high frame rates, no VPNs or open ports, and remote SSH and JSON logs.
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