"Even when we bring on additional data, Panasas still performs exactly as we would expect. We can count on the solution to handle everything we can throw at it. That helps us meet our deadlines and ensure that clients get the information they need."

Janie Garcia
Manager of Onboard Processing at Magseis Fairfield

“When we engaged with Panasas, we had recently tripled our employee count in a single month, while simultaneously finalizing the build-out of our new facility and network infrastructure, all while working on a 700-shot feature film project. Panasas not only delivered the scalable performance that we required during this critical period, but also delivered an exceptionally high level of support and expertise."

Jonathan Harb
CEO and Owner of Whiskytree

"We turned on Panasas and the bottlenecks went away. You just set it and forget it."

Steven Feldman
Senior Vice President for IT (Siemens, formerly known as CD-adapco)

"Panasas lives up to its promise of terrific performance with negligible maintenance and administration time.”

Dr. Warren Kaplan
Chief of Informatics at Garvan Institute of Medical Research

“Panasas storage has virtually managed itself. Even during the period when we didn’t have anyone dedicated full-time to administer the center we didn’t have any problems or complaints about the storage. Our users are happy with the performance which allows them to do more with their big data workloads and get results faster.”

Dr. Eric Held
Chair, HPC@USU Faculty Steering Committee

“The older storage systems we had before were always crashing. We’ve been very pleased with the performance and reliability of Panasas storage.”

Dr. Jiming Jin
Assistant Professor at Natural Resources Department

“The Panasas parallel file system remains resilient even at scale, and the direct and parallel access to the storage pool means that we can work on our most complex simulations, unaffected by the system bottlenecks of our previous equipment. The Panasas solution gives us powerful HPC capabilities to help leverage our massive datasets to advance essential scientific discovery.”

Dr. Bryan Lawrence
University of Reading & NCAS