Pavilion Data Systems, the leader in the third wave of data storage, announced today that a Federal Agency has expanded its deployment of the Pavilion Hyperparallel Flash Array (HFA) to accelerate workflows in their IBM Spectrum Scale environment.
This agency is part of a major federal organization tasked with safeguarding American lives and property through the use of advanced analytics technology. The Pavilion HFA enables them to perform this critical task faster, while reducing the cost and complexity of their Spectrum Scale environment.
This demanding environment leverages Apache Spark and Nvidia GPUs to rapidly analyze vast amounts of data using advanced AI-based algorithms to detect and eliminate threats. The Pavilion HFA enables them to continue this important function at a fraction of the cost and footprint of other solutions.
In addition, the Pavilion HFA reduces the management overhead associated with complex storage environments while freeing significant compute resources that can be applied to critical application processing.
“Our client’s workflows are critical to our nation’s security and they have demanding performance requirements,” said Michael Tanner, Regional Vice President and Head of the Federal Business for Pavilion Data Systems. “The Pavilion Hyperparallel Flash Array enabled the organization to meet its stringent performance requirements, while simultaneously reducing the cost and complexity of its storage deployment.”
Pavilion has multiple deployments in the Federal, State, Local, Education and Research vertical and is continuing to expand its innovation footprint in this space.
Pavilion Data Systems is the leader in the third wave of storage, delivering unmatched performance, density, and ultra-low latency at scale, without the cost and complexity of traditional storage. Pavilion enables global customers to shatter expectations today, tomorrow, and beyond by deploying storage solutions that scale linearly utilizing NVMe and NVMe-oF technology. Visit www.pavilion.io or follow the company twitter at https://twitter.com/PavilionData.