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Edge MLOps
also edge machine learning operations or MLOps at the edge
Definition of Edge MLOps
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: MLOps adapted for deploying, monitoring, and updating machine-learning models across edge devices, where hardware, connectivity, power, memory, and physical access may be limited or inconsistent
- The factory used Edge MLOps to roll out a new defect-detection model across hundreds of cameras without stopping the production line.
- An Edge MLOps system queued the model update until the remote sensor regained a reliable network connection.
Origin & history
The phrase appeared in research by 2021, when Reliable Fleet Analytics for Edge IoT Solutions described continuous delivery, deployment, and monitoring of machine-learning models at the edge as Edge MLOps. Later industrial research and deployment guidance developed the term around managing model fleets outside conventional data centers.
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Cite this entry
"Edge MLOps." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/edge-mlops/. Accessed 9 Oct. 2026.