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OpenStack Train focuses on security and data protection, extends AI and ML features

Written by Wed 16 Oct 2019

Train marks 20th release of open source cloud software project

The OpenStack Foundation has released the 20th version of its open source cloud infrastructure software, which focuses on security and data protection updates and fresh AI and ML features.

The latest version of the popular project is dubbed Train and will be available for download at 3pm BST. It is the product of 25,500 code changes by 1,125 developers from 150 companies.

OpenStack is a cloud framework consisting of over 50 independent subprojects (most with catchy-names) integrated to a core engine. Although the software powers more than 75 public cloud data centres and thousands of private clouds, hype around the project has waned in recent years, but it is nevertheless counted as one of the top three open source projects in the world, alongside Linux Kernel and Chromium. BT recently announced it is leveraging Ubuntu’s OpenStack distribution for its 5G infrastructure.

Security-wise, the latest release brings support for building software RAID (Redundant Array of Inexpensive Disks) through Ironic, hardware-based encryption with Nova and data protection orchestration via Karbor.

The main AI/ML update comes in the form of Cyborg – an accelerator lifecycle management tool that when integrated with Nova creates a blueprint for launching and managing VMs with accelerators, such as the GPUs that increasingly power training and inference workloads.

Aside from these highlights, dozens of other features have been introduced. More information on these is available here.

“Led by users operating at scale, contemporary versions of OpenStack are refining the experience and extending the capabilities of the software to an impressive degree,” said Jonathan Bryce, executive director of the OpenStack Foundation.

“With the Train release, the community has delivered features targeting emerging use cases like AI and ML while improving data security and infrastructure resource management for enterprises.”

Written by Wed 16 Oct 2019

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