Object Research Systems Takes Dragonfly to the Cloud

MONTREAL - June 17, 2020 - PRLog -- Object Research Systems (ORS) announced today the launch of Dragonfly Cloud, a new, flexible, and reliable way to deploy Dragonfly from anywhere at any time. This cloud solution works to overcome hardware availability constraints, which currently restrict users to working with on-premises systems, instead enabling optimal functionality and offering the security and the scalability of cloud computing. Dragonfly, the company's flagship scientific imaging product is currently used by leading researchers worldwide. With Dragonfly Cloud, those users will gain access to all the features of Dragonfly even when they are working off site.

Scientific image analysis traditionally requires a major investment for hardware suitable for demanding data processing tasks. After acquisition, IT department budgets spend on personnel, infrastructure, hardware upgrades, and other expenses that contribute to the total cost of ownership. Traditional on-premises hardware deployment incurs the high initial and recurring costs, and the organization is locked into the hardware choices for the duration of the equipment lifetime.

Dragonfly Cloud provides customers with the ability to execute compute-intensive tasks on high-performance computers with economical hourly rates. The hardware flexibility offers enormous advantages since customer use cases may vary daily from compute-intensive tasks to less demanding applications. The "pay-as-you-go" solution of cloud computing means users spend money yielding valuable deep learning results, and save money later when returning to more routine interactive image segmentation, both tasks that deliver quantitative returns on scientific imaging workflows. Dragonfly cloud further delivers computing elasticity by enabling organizations to scale-up and scale-down their interactive and automated computing based on the day-to-day shifts in computing demands.

"This work builds on our long-term strategy to deliver key value for enterprise customers. Too much of the scientific software in the marketplace continues to use technologies that do not scale for large volume data and high-performance computing that today's enterprise customers demand," said Mike Marsh, Ph.D., Product Manager for Dragonfly and Dragonfly Cloud. "This last year has revealed how transformative the Dragonfly deep learning engine has been for our user-base, and migrating that workload to the cloud leverages today's smartest computing business models."

Contact:
Nicolas Piché
Object Research Systems, Inc.
760 St-Paul West, Suite 101
Montreal, Quebec
Canada H3C 1M4
1 514 843 3861 x203
npiche@theobjects.com
http://www.theobjects.com

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