IBM launches services and systems for the edge in the 5G era

May 12, 2020 //By Jean-Pierre Joosting
IBM and Red Hat target edge computing for the 5G
IBM has announced new services and systems backed by a broad ecosystem of partners to help enterprises and telecommunications companies speed their transition to edge computing in the 5G era in other words to deploy and manage AI, IoT and analytics workloads at the edge.

This effort combines IBM's experience and expertise in multicloud environments with Red Hat's industry-leading open source technology, which became part of IBM last year in one of the biggest tech acquisitions of all time. With new edge computing services, IBM Business Partners and open multicloud systems from IBM, enterprises will be able to tap into the potential of 5G to support crucial uses like emergency response, robotic surgery or connected-vehicle safety features that benefit from the few milliseconds latency saved by not having to send workloads to a centralized cloud.

"In today's uncertain environment, our clients are looking to differentiate themselves by creating more innovative, responsive user experiences that are adaptive and continuously available – from the data center all the way out to the edge," said Denis Kennelly, general manager, IBM Hybrid Cloud. "IBM is helping clients unlock the full potential of edge computing and 5G with hybrid multicloud offerings that bring together Red Hat OpenShift and our industry expertise to address enterprise needs in a way no other company can."

These new offerings run on Red Hat OpenShift, the leading enterprise Kubernetes platform that runs everywhere – from the data center to multiple public clouds to the edge. They enable enterprises to overcome the complexity of managing workloads across a massive volume of devices from different vendors and provide telcos the agility they need to quickly deliver edge-enabled services to customers. Clients across industries can now fully realize the benefits of edge computing, including running AI and analytics at the edge to achieve insights closer to where the work is done.


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