Object Research Systems revolutionizes the scientific imaging world with the launch of a complete SAS cloud computing solution.
MONTREAL, QC — April 1, 2020 — 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.”
Our open software development tools have made us a natural partner for academic workers across the globe. Those same users are now confronted with an immediate need to continue their cutting-edge research, separated from their existing hardware, which lay locked away in inaccessible laboratories and offices, commented Nicolas Piché, Ph.D., Chief Scientific Officer at ORS. “Dragonfly Cloud is a timely response to empower these researchers to continue their work uninterrupted.”
Dragonfly Cloud delivers the much needed flexibility and elasticity that research-driven organizations require and will help them drive their scientific initiatives. Accessing the feature-rich Dragonfly computing platform through cloud technologies will improve worker productivity in this rapidly evolving environment.
Object Research Systems (ORS) develops deep learning powered 3D visualization and image analysis software. Dragonfly and Dragonfly Cloud, ORS’ flagship products, provide innovators from leading universities or industries, an advanced machine learning and neural networks based segmentation engine. Dragonfly's quantification tools then provide powerful options for counting, measuring, and characterizing image features, such as pores, fibers, grains, and much more. Its user-friendly experience translates its powerful and accurate quantitative findings in high-impact visuals. The ability to build fully automated workflows also enables reproducible results. Curious to learn more? We'd love to show you how Dragonfly can help you!
Company :-Object Research Systems (ORS)
User :- Nicolas Piché
Url :- http://theobjects.com