Schneider Electric and HPE first announced their partnership in 2016 to produce a joint architecture for micro data center solutions to power the intelligent edge.

Bringing together system integrators with IT solution providers to build integrated industrial edge computing solutions, the expanded partnerships have resulted in the immediate release of three programs.

Exactly when will technology reach the future — the one that relies on edge infrastructure, complete with self-driving cars and smart buildings that communicate with each other to make up truly smart cities?

Technological advances have resulted in a shift from centralized, inflexible power sources running on a unidirectional grid toward decentralized smart grids and microgrids.

Equipped with an Intel Celeron J3455 processor, comprehensive I/O ports, and VGA and HDMI display interfaces, UNO-247 is designed to deliver edge computing power at a competitive price.

Keysight Technologies Inc. announced PathWave Waveform Analytics, an edge-to-cloud computing application that improves anomaly detection and reduces data storage costs in pre-silicon validation using machine learning algorithms.

At the risk of giving away the conclusion too early, there’s a clear place — not to mention, a need — for both application and infrastructure deployments in the cloud and on the edge.

Mission Critical and Panduit commissioned Clear Seas Research to conduct a survey measuring industry awareness and usage of edge computing solutions. A total of 100 experts were asked how they would explain edge computing to someone new in the industry.

In many ways, IoT is still a buzzword. But more significantly, new technologies, which have grown from various IoT initiatives, have led to a revolution in the data center. The abundance of new data is having a significant impact on how deep learning, artificial intelligence (AI), and machine learning (ML) applications are leveraged.