Nutanix launches IoT edge computing service

Networks Asia staff

Nutanix has announced the general availability of Xi IoT, a new edge computing service offered as part of the company’s Xi Cloud Services.

Unlike traditional IoT models, the Xi IoT platform delivers local compute, machine inference, and data services to perform real-time processing at the edge.

Xi IoT Data Pipelines can securely move intelligently analyzed data to a customer’s public (Azure, AWS or GCP) or private cloud platform of choice for long-term analysis. Edge and core cloud deployments all operate on the same data and management plane, so Xi IoT customers have seamless, simplified insight into their deployment.

In 2017, 3 billion enterprise IoT edge devices generated up to 30 times more data (256 ZB) than the 30+ million nodes across public and private cloud data centers.

But the current IoT model in which the massive amounts of data on edge devices is sent back to a centralized cloud for processing has severely limited the ability of customers to make real-time, actionable decisions from intelligence gained at the edge.

For customers, deriving value from this massive amount of data is rife with latency issues, lack of scalability, lack of autonomy, and compliance and privacy issues.

Xi IoT is designed to provide zero-touch setup and management of edge devices to help organizations mitigate the risk of IoT security breaches due to human error, increase overall efficiency and reduce the cost of operating edge devices across the globe.

“It is critical for enterprise organizations to have an edge strategy to unify, edge to cloud connectivity, to rapidly build IoT applications, and to provide real-time analytics closer to where the data is generated,” said, Ashish Nadkarni, group vice president of infrastructure systems, platforms and technologies at IDC.

“For companies looking for a competitive advantage, solutions like Nutanix Xi IoT can help them stay ahead of the market and identify new opportunities to grow their businesses.”

First published in Networks Asia  

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