Litmus, the Intelligent Edge Platform for Industrial IoT, announced a new validated, end-to-end solution with Dell Technologies to simplify smart manufacturing at the edge.
The offering combines Dell Technologies hardware and software with the Litmus Industrial IoT Edge platform for a resilient, scalable edge compute infrastructure that allows manufacturers to rapidly collect, analyze and act on time-critical data to improve operations.
The Dell Technologies Validated Design for Manufacturing Edge with Litmus uses Dell EMC VxRail and Dell EMC PowerEdge servers, which provide high-availability, AI and machine learning and high-speed connectivity for manufacturing edge applications.
Litmus adds edge data collection, machine analytics, enterprise data integration and application and ML deployment at the edge. Scale is enabled via a centralized edge management platform that manages all IoT devices and services across all locations from a single point of control.
The Dell Technologies Validated Design for Manufacturing Edge with Litmus offers out-of-the-box connectivity to any industrial asset with more than 250 pre-loaded drivers. Pre-built and custom data visualizations, analytics and KPIs provide immediate insights at the edge, and data can be integrated to any cloud or enterprise system to power applications and feed machine learning models. The solution is integrated with the Dell EMC Streaming Data Platform, which allows customers to use high-speed data persistence and unconstrained data storage at the edge to train machine learning models without needing to send data to the public cloud.
John Younes, Litmus COO
Dell infrastructure plus Litmus software ensures security, reliability and management for smart manufacturing deployments, allowing customers to harness the power of the edge for real value - to reduce downtime, improve product quality and increase production capabilities.
Gil Shneorson, senior vice president, edge, Dell Technologies
Through our work with Litmus, manufacturers can now deploy and scale their edge with ease. With real-time data insights, they can make quick decisions to improve business outcomes, like repair equipment before it fails, improve production quality and save costs.
