NASA scientists speed-up solar image analysis using Big Data Analytics and reduced computations that would've taken a 1 year on CPU to less than a week with Quadro RTX Data Science Workstations. Researchers at NASA’s Goddard Space Flight Center have developed algorithms to analyze the immense number of solar images taken since 2010 by the Solar Dynamics Observatory. They are using errors in the images to help identify the origins of energetic particles in Earth’s orbit that could damage interplanetary spacecraft. They are also using the same images to track solar surface flows to support better models for predicting the weather in space. With Quadro RTX-powered Z by HP data science workstations, the NASA team can easily sort through the data and analyze images up to 150X faster than CPU.

• How NASA uses machine learning and Z by HP Quadro RTX Data Science Workstations to easily sort through data and use AI to track optical flows in a series of images.

• How the NASA team has developed GPU-based algorithms that sort through Terabytes of errors in solar images and run up to 150x faster than using CPUs.

• Why the NASA team went with Z by HP Quadro-Powered Data Science Workstations to work on their big data problems.

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