SC19: Qumulo Demos Unified File Storage That Reduces Administrative Burden and Consolidating HPC Workloads

Qumulo, Inc.  has showcased its scalable file storage for HPC workloads at SC19 to help organizations gain real-time visibility, scale and control of their data across on-prem and the public cloud.

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As technology advancements expand in processors, sensor-generated data, AI and ML, the amount file data produced by research organizations will continue to explode to exascale levels and beyond. Hyperion Research forecasts the total HPC market to reach $44B by 2023, with storage-related investments accounting for $7.8B of that.

At SC19, the company demonstrated why many of the research institutes have turned to the file storage for its ability to deliver real-time data analytics that save time on administrative tasks and increase storage performance across diverse file-based workloads. Live booth demonstrations showcased active genomic sequencing pipelines capturing raw instrument data on-prem and bursting to the cloud for analysis, in a single file storage solution, all while keeping the data securely stored in the firm’s storage system.

“Qumulo’s quick rebuilds, high data durability and integrity, and the ability to scale across on-prem and cloud platforms, were all key factors in building a new high performance storage option using Qumulo file storage to supplement our existing storage options,” said Brian Balderson, director, infrastructure, research data services, San Diego HPC Center. “Qumulo scales in both performance and capacity, and that helped us easily reach a new audience of end users, many of which have data volumes of a petabyte and up, so that we are now well-equipped for future data growth.“

“More and more HPC institutes are looking to modern solutions that help them gain insights from their data, faster,” said Molly Presley, director, global product marketing, Qumulo. “Qumulo helps the research community consolidate diverse workloads into a unified, simple-to-manage file storage solution. Workgroups focused on image data, analytics, and user home directories can share a single solution that delivers real-time visibility into billions of files while scaling performance on-prem or in the cloud to meet the demands of the most intensive research environments.“

The firm’s list of customers in the HPC space include: National Renewable Energy Laboratory (NREL), Carnegie Institution for Science, CID Research, Channing Division of Network Medicine at Brigham and Women’s Hospital, DarwinHealth, Inc., Georgia Cancer Center at Augusta University, Institute for Health Metrics and Evaluation (IHME) at the University of Washington, Johns Hopkins Genomics at The Johns Hopkins University, Progenity, Inc., UConn Health, University of Utah Scientific Computing and Imaging (SCI) Institution and others.

Resources:
Distributed File Storage for High Performance Computing
Solution brief: Qumulo for HPC
Case study: Sinclair Oil Expands its Digital Repositories with Qumulo
Case study: Visionary Research Institute Cuts Image Processing Time with Qumulo
Blog: Qumulo Distributed File Storage: Purpose-Built to Meet the Demands of HPC Environments

Read also :
National Renewable Energy Laboratory Chooses Qumulo File Storage
For science center to manage mixed workloads and IO, and scale in HPC environment
March 12, 2019 | Press Release