Qumulo showcased its scalable file storage for high-performance computing workloads at SC19. The company helps innovative organizations gain real-time visibility, scale and control of their data across on-prem and the public cloud.
More and more HPC institutes are looking to modern solutions that help them gain insights from their data, faster,” said Molly Presley, global product marketing director for 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.”
As technology advancements expand in processors, sensor-generated data, artificial intelligence and machine learning, 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.
Many of the world’s leading research institutes have turned to Qumulo’s 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 will show 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 Qumulo’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 of infrastructure, research data services at the San Diego Supercomputer 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.”
