Edge and cloud computing convergence

28 May 2019

Together, Rittal and Innovo Cloud have created digital twins as well as the necessary infrastructure ecosystem for connected Industry 4.0 scenarios.

Intelligent computer power is increasingly moving to the edge of networks. According to analysts at IDC, one-in-four endpoints will, within three years, not just capture data at the edge, but also execute AI algorithms.

Enterprises looking to expand their decentralised infrastructure for their digitalised plant and equipment in the context of the Industrial Internet of Things (IIoT) require the edge computing solutions to match.

Rittal and Innovo Cloud have a joint offering comprising ready-to-go edge infrastructure, cloud-native platform services and direct high-speed cloud connections to tier-3 data centres in Frankfurt.

According to Gartner, empowered edge computing will be the next stage in the evolution of data processing within networks. By 2020, there will be around 20 billion connected sensors and end-points. These deliver the data needed to create digital twins of physical equipment and systems. High-performance, decentralised infrastructure comprising automated edge applications, in conjunction with cloud-native platform services from Innovo Cloud, enable industrial players to model and manage their digital twins across the entire value chain – supported by the ultralow latency needed for real-time processing in manufacturing use cases.

The industrial analytics platform is a prerequisite for digital twins. Within the scope of the manufacturing edge platform showcase, Innovo Cloud can model the entire lifecycle of a physical asset in the age of Industry 4.0. Its basis is a connected edge cloud infrastructure from Innovo. The data captured at the edge is subsequently transmitted reliably and securely for further analysis.


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