HPE Teams with WekaIO for HPC and Machine Learning

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In this video from the HPE booth at ISC 2018, Barbara Murphy from WekaIO describes how the company’s fast parallel file system for NVMe devices speeds HPC and Machine Learning workloads.

You invested in the best infrastructure to run your AI and data intensive applications, so don’t let data accessibility be the bottleneck to your productivity gains. To maximize your investments and resolve the GPU and CPU starvation problem, you need a shared file system that ensures data is available to the applications. WekaIO delivers all the bandwidth you need, so your applications never have to wait for data.”

WekaIO and HPE work together to validate that our joint hardware and software engineered solutions have been tested to the highest standards from both companies. HPE engineered solutions are built on pre-defined configurations from the HPE ProLiant and Apollo server products lines, qualified on Intel Xeon CPUs and Intel NVMe SSDs.  The industry-proven combination of HPE and Intel with the software-defined WekaIO Matrix software provides a class-leading storage solution for HPC and AI.

Barbara Murphy brings over 20 years of marketing leadership for storage systems to her role as Vice President of Marketing for WekaIO. Prior to joining the company, she was VP of Marketing for the Converged Infrastructure business unit at HGST where she led the marketing efforts for HGST’s emerging cloud infrastructure products. Prior to that, she was the Chief Marketing Officer for Panasas, a leading provider of high performance scale-out storage systems targeting media and entertainment, life sciences and computer aided engineering. Ms. Murphy was part of the 3ware team who pioneered Serial ATA in enterprise storage. After the successful acquisition by AMCC, Ms. Murphy served as a Senior Vice President for its Storage Division. Murphy holds a Bachelor of Engineering degree from the University of Limerick, Ireland, an MBA from Santa Clara University and a Masters in International Relations from Victoria University, New Zealand.

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