According to a new press release, “Today at the 2018 International Supercomputing Conference in Frankfurt, Germany, global supercomputer leader Cray Inc. announced it is accelerating and simplifying its customers’ path to value from artificial intelligence (AI). The company is introducing the Cray® Urika®-CS AI and Analytics software suite for the Cray® CS™ series and new Cray®Accel AI™ reference configurations to help IT and AI teams. A typical AI workflow spans data preparation using analytic tools through to model development and model deployment using AI tools. It can be time consuming and resource intensive to implement. The Cray Urika-CS AI and Analytics suite and new Cray Accel AI reference configurations join key tools and system configuration guidance to simplify the implementation of AI. The Cray Urika-CS AI and Analytics suite makes the most popular AI and analytics tools and frameworks readily available on all GPU- and CPU-based Cray CS series systems, including TensorFlow™, BigDL, Apache Spark™, Dask, Jupyter Notebook and TensorBoard.”

The release goes on, “The Cray Urika-CS AI and Analytics suite is optimized for and supported on the Cray CS series cluster supercomputers and brings analytics and artificial intelligence capabilities to existing HPC and emerging AI environments. Combined with the Cray Urika-XC AI and Analytics suite for the Cray XC series supercomputers, these powerful tools will now be available across Cray’s portfolio of computing solutions. ‘Today’s organizations are faced with a daunting task: to quickly implement and integrate new applications that take advantage of the latest advancements in Artificial Intelligence,’ said Mike Leone, senior analyst at ESG. ‘Successful AI application deployments require that teams overcome numerous hurdles, including infrastructure complexity and a constantly evolving technology landscape. There’s an increasing demand for a simplified way to make AI workflows more efficient and sustainable by leveraging a purpose-built system that simultaneously addresses the integration, performance, and support challenges brought on by AI’.”

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Photo credit: Cray