NVIDIA's RAPIDS Brings GPU Power to Predictive Data Analytics - Avionics

NVIDIA VP for Accelerated Computing Ian Buck unveiled the graphics processing unit (GPU) provider's new open-source platform, RAPIDS, which promises major potential for accelerating the ability for data scientists to incorporate neural networks and machine learning into data analytics platforms. Buck unveiled RAPIDS as part of an hour-long opening keynote during NVIDIA's GPU Technology Conference (GTC) at the Ronald Reagan Building in Washington D.C. this week. NVIDIA has been hosting GTCs throughout 2018 to explain how artificial intelligence, machine learning and other embedded computing processing concepts can be applied in innovative new ways to new industries. Washington D.C. comes after GTCs in Europe, Israel and Japan, with the final one of the year scheduled for China next month. RAPIDS is NVIDIA's new open-source software that serves as a GPU-acceleration platform to give companies ability to analyze massive amounts of data and make accurate business predictions at unprecedented speed. NVIDIA developed the software as a suite of open-source libraries for GPU-accelerated analytics, machine learning and eventually data-visualization purposes.