LF Edge highlights Fledge growth, new release for industrial edge AI/ML applications
LF Edge, an umbrella organization within the Linux Foundation, has issued its 1.8 release and announced its move to the Growth Stage within the LF Edge umbrella. Fledge is an open source framework for the IIoT, used to implement predictive maintenance, situational awareness, safety and other critical operations. Deployed in industrial use cases since early 2018, Fledge integrates IIoT, sensors, machines, ML/AI tools-processes-workloads, and cloud/s with the current industrial production systems and levels, as per ISA-95.
Fledge v1.8 is the first release since moving to the Linux Foundation. The project code has over 60,000 commits, averaging 8,500 commits/month.
Fledge has also matured into a Stage 2 or “Growth Stage” project within LF Edge. This level is for projects interested in reaching the Impact Stage, and have identified a growth plan for doing so. Growth Stage projects receive mentorship from the Technical Advisory Committee (TAC) and are expected to develop their community of contributors, governance, project documentation, and other variables identified in the growth plan that factor in to broad success and adoption.
“Fledge, initially seeded by OSISoft and Dianomic and now a diverse project within LF Edge, is a great example of open source integration. By working closely with Google and other ecosystem partners on new and emerging use cases, we are bringing the power of LF Edge to a broader market,” said Arpit Joshipura, general manager, Networking, Edge and IoT, the Linux Foundation. “We look forward to building an open community of industrial users, suppliers and integrators.”
The announcement has more information about new contributors, contributions and integrations adding to LF Edge’s momentum.
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