Helmholtz Munich Chooses DDN for AI-Driven Discovery

Applications of AI


As part of the Helmholtz Association, the Munich location researches and integrates AI methods across multiple data-intensive computational applications such as deciphering plant genomes, examining tissue samples, and living and epidemiological cohort studies. .

Helmholtz München believes that scientists and researchers are “continuously seeking new ways to solve complex problems faster and need reliable solutions to meet their research demands. ‘ said.

Alf Wachsmann, Head of digIT Infrastructure and Scientific Computing at Helmholtz Munich. “The knowledge gained from Helmholtz München’s research forms the basis of tomorrow’s medicine, delivering tangible benefits to society and improving human health.

“DDN’s decades of experience, world-class customer support, and high-performance, reliable architecture will help researchers continue their work without interruption, now and into the future.”

Helmholtz Munich has four fully implemented application systems spanning a global namespace, combining file systems from any number of file storage devices for easy control and management of large data sets, streamlined It delivers the unparalleled performance you need for streamlined workflows and faster time-to-detection.

The center also implemented a graphics processing unit (GPU)-integrated system that delivers faster data throughput with a direct data path between storage and GPU, especially for intensive AI applications.

The company’s parallel filesystem appliances will significantly accelerate Helmholtz München’s researchers’ ability to accelerate the discovery process while mitigating the everyday risks associated with ingesting, distributing and analyzing big data.



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