Dell + Litmus
Enterprise-Grade Smart Manufacturing at the Edge
Purpose-built Dell hardware combined with the Litmus Industrial IoT Edge platform gives customers a resilient, scalable edge compute infrastructure to rapidly collect, analyze and act on time-critical data to improve operations on the factory floor.
Dell Technologies + Litmus simplifies the path to smart manufacturing with a high-performance edge solution
Manufacturers are looking for a scalable solution that reduces complexity at the edge to collect and act on valuable machine data. The Dell Technologies Validated Design for Manufacturing Edge with Litmus is a high-performance edge infrastructure built to ingest, process, analyze and store large streams of data at the edge to accelerate smart manufacturing outcomes.
The Litmus Industrial IoT Edge Platform
Our flexible and scalable Industrial IoT Edge platform is built for any Industry 4.0 initiative or use case – from OEE and asset condition monitoring to predictive maintenance and machine learning. Litmus provides the device connectivity, edge analytics, application deployment, and data integration necessary for complete edge-to-cloud data flow at scale.
Litmus for Predictive Maintenance provides the asset data collection, analytics and machine learning needed to reduce unplanned downtime and increase the efficiency of maintenance activities.
Asset Condition Monitoring
Litmus for Asset Condition Monitoring helps companies collect, analyze, manage and integrate asset data to take the guesswork out of asset condition and fully exploit equipment investment.
Litmus for OEE harnesses the critical data buried with assets at the edge to dramatically simplify the calculation of Overall Equipment Effectiveness and optimize throughput, increase quality and improve performance.
Litmus for Edge Computing is purpose-built to connect to any industrial asset or data source, analyze and visualize data at the edge, and quickly and easily share valuable edge data with enterprise systems.
Litmus for IIoT allows manufacturers to connect to any asset, collect and analyze data, integrate with cloud and big data applications for advanced analytics, then run the models back at the edge for continuous improvement.