By bringing together edge and cloud capabilities, the two companies plan to help customers deploy, process, store, analyze and train critical data from edge to cloud and enhance business processes.
FogHorn Lightning Edge AI offerings, which deliver low latency for onsite data processing and real-time AI, analytics and machine learning capabilities, combined with IBM Edge Application Manager, which runs on Red Hat OpenShift, will be designed to automate the deployment of edge AI applications to available enterprise edge compute.
The solution is being engineered to run and manage workloads on virtually any edge endpoint, including devices, clusters and servers, gateways and machines supporting RHEL and other Linux operating systems, with Red Hat OpenShift, and Podman and other Docker runtimes.
This gives organizations the choice and flexibility to extend their operations from any public or private cloud to any edge server or asset, and is planned to allow for a single system of record in the enterprise that is enriched with quality data and insights to be acted on with intelligent automation.
FogHorn’s offerings can also be integrated with IBM Maximo Application Suite to optimize the performance of physical assets and accelerate transformation of maintenance, monitoring and reliability options, powered by Lightning Edge AI Platform.
FogHorn is part of the IBM edge ecosystem, an initiative to help equipment manufacturers, networking, IT & software providers implement open standards-based cloud-native solutions that can autonomously manage edge applications at scale.