FogHorn Systems today announced the availability of Lightning ML, the newest version of its Lightning edge intelligence software platform for the Industrial Internet of Things (IIoT). Lightning ML is now the industry’s first IIoT software platform with integrated machine learning capabilities and universal compatibility across all major IIoT edge systems.
“The money and time required to move massive amounts of machine data to the cloud for analysis, only to send the results back to the edge, often makes little sense,” said Mike Guilfoyle, Director of Research and Senior Analyst at ARC Advisory Group. “In many instances cloud computing won’t be practical, necessary, or desirable.”
Lightning ML leverages existing models and algorithms, using live data streams produced by existing physical assets and industrial control systems, with tools directly accessible by non-technical personnel.
Lightning ML enables complex machine learning models to run on highly-constrained compute devices such as PLCs, Raspberry Pi systems, tiny ruggedized IIoT gateways, as well as more powerful Industrial PCs and servers, FogHorn Systems says.
Even with the addition of advanced machine learning capabilities, the complete Micro edition of the Lightning ML platform requires less than 256MB of memory footprint, Foghorn Systems notes.