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Panasas Launches the New PanFS with Dynamic Data Acceleration Technology to Support Diverse and Changing Workflows in HPC and AI

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UC San Diego Center for Microbiome Innovation Adds Two Petabytes of Panasas’ HPC Storage for COVID-19 Research

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HPC Purchase Criteria Is Often
Way Off the Mark

New research reveals that what you don’t know
about HPC storage is costing you

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Panasas Response to COVID-19
As we deal with the coronavirus (COVID-19) pandemic and the uncertainty it creates, protecting the health of our employees while maintaining business continuity for our customers and partners is our number one priority. To learn about the steps we have taken to ensure employee safety and business readiness, read the CEO Letter to Customers and Partners here.

The Premier Provider of
HPC Data Storage Solutions

Panasas® supports industry and research innovation around the world with PanFS® Dynamic Data Acceleration that automatically adapts to evolving workloads to deliver a consistently fast, total-performance HPC storage solution. PanFS is delivered on the ActiveStor® Ultra turnkey appliance to maximize simplicity, boost reliability, and provide the lowest TCO.



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Predictable Performance and Innovation

Organizations want their data to be accessible, with predictable high performance that automatically adapts to the changing and evolving small file and mixed workloads dominating today’s and tomorrow’s HPC and AI landscape. Our customers accomplish this and more with the Panasas Dynamic Data Acceleration technology: Conduct advanced genomic research using the latest sequencing technology, render visual effects for animated films, design advanced aircraft with complex computer-aided engineering and finite element analysis models, and optimize the extraction of oil-and-gas deposits through seismic processing-based analysis.

“Panasas technology supports the mission of the Center because it never limits our exploration.”

Yoshiki Vázquez-Baeza
Associate Director of Bioinformatics Integration University of California San Diego Center for Microbiome Innovation

"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