Avere selected by Inova

Inova Translational Medicine Institute (ITMI) has chosen Avere for access to the world's largest, centralized repository of whole genome sequence data. ITMI, a research and development arm of Inova Health System, will use Avere's FXT Series Edge Filers with FlashMove™ software to move data into and out of the Amazon Simple Storage Service (Amazon S3). This solution will allow Inova to build its database with unlimited capacity scaling in the cloud while lowering the cost of data storage.

  • Friday, 1st August 2014 Posted 11 years ago in by Phil Alsop

"Inova Translational Medicine Institute's storage infrastructure is comprised of world class SGI HPC storage, traditional on-premises NAS filers, and Amazon's S3 and Glacier services. Avere's approach and vision for hybrid cloud storage aligns perfectly with our integrated environment and we see their solutions as the glue that allows us to tie together disparate systems and treat the cloud as an on-premise data center, without the maintenance overhead," said Greg Eley, CTO at Inova Translational Medicine Institute.


ITMI's mission is to use genetic information to effectively manage or even prevent conditions such as cancer, heart disease, stroke and diabetes. Avere's hybrid cloud framework will provide ITMI with a highly available, secure and scalable data storage solution for managing its database of 5000 complete whole genome sequences. In addition, Avere's FlashMove software enables the flexibility and agility for ITMI to migrate massive amounts of data without disruption, supporting the organization's goal of adding 20,000 whole genome sequences over the next two years.


"ITMI is changing the face of health care through predictive modeling, innovative genome research and a pioneering approach to personalized medicine," said Ron Bianchini, president and CEO of Avere Systems. "As ITMI progresses toward its goal of assembling the world's largest whole genome sequence database, Avere is excited to be a crucial partner in supporting the database's exponential growth."
 

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