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MeteoSwiss to Improve Weather Forecasting with Cray CS-Storm Supercomputer

At ISC 2019, Cray announced that CSCS in Switzerland is adding a third Cray CS-Storm supercomputer to support the development of cutting-edge weather service products at MeteoSwiss. “MeteoSwiss found success with its existing Cray supercomputers and selected this new CS-Storm to provide the additional computational power required to process increasing volumes of weather observations and produce higher fidelity forecasts. The CS-Storm system was also selected for its ability to run numerical weather forecasts within a reduced energy footprint (as compared to competing solutions), and for the reliability the platform provides MeteoSwiss when running critical workloads.”

Cray Boosts Deep Learning Performance for Geospatial AI

Today Cray announced enhanced capabilities to empower data scientists and engineers who are innovating in the field of Geospatial AI. “The new features include an augmented Deep Learning Plugin that provides best-in-class deep neural network performance training and broadened support for deep learning frameworks. In performance studies, the plugin showed training time reductions up to 23% over open source alternatives for a single node, dense GPU configuration.”

Cray Powers Weather Forecasting at ZAMG in Austria

Today Cray announced that the Central Institution for Meteorology and Geodynamics in Austria (ZAMG) is using a Cray supercomputer to support a multi-year weather nowcasting project with the University of Vienna to benefit society and industry. “Using deep learning methods, ZAMG is leveraging its Cray CS-Storm supercomputer to optimize the orientation of wind-powered generators for maximum efficiency and to train neural networks with current and historical weather data.”

Cray rolls out new Cray Artificial Intelligence Offerings

Today Cray announced it is adding new options to its line of CS-Storm GPU-accelerated servers as well as improved fast-start AI configurations, making it easier for organizations implementing AI to get started on their journey with AI proof-of-concept projects and pilot-to-production use. “As companies approach AI projects, choices in system size and configuration play a crucial role,” said Fred Kohout, Cray’s senior vice president of products and chief marketing officer. “Our customers look to Cray Accel AI offerings to leverage our supercomputing expertise, technologies and best practices. Whether an organization wants a starter system for model development and testing, or a complete system for data preparation, model development, training, validation and inference, Cray Accel AI configurations provide customers a complete supercomputer system.”

Piz Kesch: The Making of a GPU-based Weather Forecasting System

Thomas Schulthess from CSCS presented this talk at the Nvidia booth at SC15. “On October 1, 2015 “Piz Kesch”, a Cray CS-Storm system with NVIDIA K80 GPUs became operational at CSCS on behalf of MeteoSwiss. In this talk, we will discuss the hardware-software co-design project behind this most cost and energy efficient system for numerical weather prediction.”

Cray CS-Storm Takes GPUs to New Levels of Scalability at SC15

“In this video from SC15, Amar Shan describes how the the Cray CS-Storm takes GPUs to new levels of scalability. Systems like the CS-Storm have propelled Cray to power 50 percent of the TOP500 supercomputers. While the Cray CS-Storm started out successfully in government sectors, the systems have gained traction in various commercial sectors including Oil & Gas.”

Swiss CSCS to Power Weather Forecasts with GPUs on Cray CS-Storm

Today Cray announced that the Swiss National Supercomputing Centre (CSCS) has installed a Cray CS-Storm cluster supercomputer to power the operational numerical weather forecasts run by the Swiss Federal Office of Meteorology and Climatology (MeteoSwiss). This is the first time a GPU-accelerated supercomputer has been used to run production numerical weather models for a major national weather service.