The Xi IoT platform delivers local compute, machine inference, and data services to perform real-time edge computing.
Enterprise cloud computing provider Nutanix announced the launch of a new edge computing service designed to streamline IoT application and services management. The Xi IoT platform supports real-time processing at the edge via local compute, machine inference, and data services.
In 2017, three billion enterprise IoT edge devices generated up to 30 times more data (256ZB) than the over 30 million nodes across both public and private cloud data centers. Because the current IoT model relies on sending data back to a centralized cloud for processing, it hampers customers’ access to real-time decision making. Other drawbacks of the traditional IoT model include latency and compliance issues, privacy issues, and lack of scalability.
Nutanix’s new service processes that data at the source for faster and more efficient data management. The company designed Xi IoT to autonomize device setup and management, which reduces security risks from human error and shrinks operating expenses.
See also: Edge computing bring IT and OT together
“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,” says Ashish Nadkarni, Group Vice President, Infrastructure Systems, Platforms and Technologies, 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.”
Xi IoT is part of the company’s Xi Cloud Services which make the transitions between clouds seamless. Nutanix said it will initially target manufacturing, smart cities, retail, healthcare, and oil and gas with the new service, which is now available in the United States.
