UF, Qumulo Team for BioTech Research
February 10, 2020
University of Florida has chosen Qumulo’s distributed file system for
its scalable capacity, real-time data analytics, and industry-recognized
commitment to customer care.
The University of Florida’s Information Technology division (UFIT)
provides proposal support, infrastructure, and consulting services to
give researchers a competitive edge. Qumulo’s software will enable the
UFIT staff to better serve university researchers who are creating,
storing, accessing, and managing data related to bioinformatics,
genomics, DNA sequencing and oncology research, among other use cases.
“We wanted a storage solution that would not only work for UF’s faculty
but work for our research computing staff as well,” said Erik Deumens,
scientist and director, UF Information Technology – Research Computing.
“Selecting Qumulo takes the guesswork out of our storage management and
makes us more efficient when scheduling diagnostic operations. We find
the Qumulo system to be rich in features and easy to work with. It is a
very cost-effective solution so that we are making the best use of
As demands for more capacity and performance grew on UFIT’s legacy
system - including the need to better support data analytics and
virtualization initiatives - it became apparent that the university’s
existing storage infrastructure was obsolete. With its real-time
analytics, visibility, and ease of use, Qumulo’s file storage has given
the University of Florida the ability to re-prioritize its efforts and
accomplish additional tasks, rather than focusing time on storage
maintenance and management.
investment in Qumulo is an investment in our faculty,” said Elias G.
Eldayrie, vice president and CIO. “We want to enable their research with
the best supercomputing environment possible, from the expertise of our
staff to the tools needed for highly available storage of their data.
Qumulo’s data storage solutions help us provide the necessary research
ecosystem required for a top-5 university.”
Qumulo delivers extremely low latency and high-throughput performance to
meet the demands of today’s high-performance computing workloads in the
data center and in the cloud. Qumulo’s file storage efficiently manages
mixed IO performance for billions of small and large files at petabyte
scale to accelerate productivity. Its real-time analytics eliminate data
blindness for organizations, helping to save time and money. Qumulo’s
software is uniquely optimized for both fast reads and writes through
built-in hybrid intelligent predictive caching and proactive prefetch,
which enables fast reads and identifies read IO patterns to move data to
the fastest media proactively