2017-03-14 - The latest version of ABB's data center automation offering comes with added integrations, more functionality, and flexibility to enable better transparency and interoperability.

  • Decathlon for Data Centers becomes part of ABB's digital offering and is renamed to ABB Ability Data Center Automation
  • ABB Ability offers a broad range of connected digital systems and services to data center customers
  • Improved real-time visibility and optimization of power, cooling and IT data center assets
  • Integration of Intel® Data Center Manager (DCM) provides IT asset monitoring and management capabilities

ABB Ability unifies and simplifies the access to all of ABB's digital solutions that are based on technology leadership, digital expertise and specific industry know-how. This provides the basis to create real business value also for our data center customers. That is why Decathlon for Data Centers is now integrated into the ABB Ability portfolio of digital offerings and is also reflected in a new name: ABB Ability Data Center Automation.

The new release of ABB Ability Data Center Automation comes with new features for even higher customer value, with new reports, equipment types and engineering tools that make configuring and deploying the product even more streamlined than ever before.

Among the many new features, the auto-aggregation capability allows values to be automatically calculated (aggregated) across layers of physical or virtual equipment. This means that power, thermal, IT, financial or any other data can be automatically calculated even as changes are made to the underlying infrastructure. Energy consumption can be automatically summed up across the whitespace floor. Minimum and maximum temperatures can be automatically collected even as new sensors are added.

Also included in this release is an integration of Intel® Data Center Manager (DCM) which provides IT asset monitoring and management capabilities. It provides the ability from within ABB's Data Center Automation environment to access both the power consumption and thermal information of a server to directly manage efficiency of servers, racks and groups of servers in the data center.

'The new version of ABB Ability Data Center Automation is the most versatile release of the product yet. Customers will be excited about the possibilities to collect data directly from servers and merge them seamlessly into their data center overview. The auto-aggregation feature distills all of the data that ABB Ability Data Center Automation captures and makes it useful for real-time decision support and analysis with little to no effort.' said Madhav Kalia, Global Head of Data Center Automation at ABB.

ABB Ability Data Center Automation is built on the automation platform ABB Ability System 800xA, and it inherits all of the reliability and features that have made it one of the world's most deployed distributed control systems.

About ABB
ABB is a pioneering technology leader in electrification products, robotics and motion, industrial automation and power grids, serving customers in utilities, industry and transport & infrastructure globally. Continuing more than a 125-year history of innovation, ABB today is writing the future of industrial digitalization and driving the Energy and Fourth Industrial Revolutions. ABB operates in more than 100 countries with about 132,000 employees www.abb.com

About ABB Ability Data Center Automation
ABB Ability Data Center Automation (www.abb.com/decathlon-datacenters), built on an open platform design, provides the industrial-grade controls and tools to manage and automate a flexible network of power, cooling and IT systems for maximum reliability, energy efficiency and optimal utilization of all data center assets. It is part of ABB's broad portfolio of integrated solutions, products and services, from power distribution systems to enterprise management and grid connections.

ABB Ltd. published this content on 15 March 2017 and is solely responsible for the information contained herein.
Distributed by Public, unedited and unaltered, on 17 March 2017 15:28:08 UTC.

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