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Nvidia reports 70-second processing of 10 TB telescope dataset

Black hole illustration with a dark central region surrounded by bright orange rings and curved bands of light against a black background. Image: Primary
Nvidia says its cuPhoton.xBeam software processed a 10 TB telescope dataset in 70 seconds using 64 GPUs on a Vera Rubin NVL72 system, compared with 31,992 seconds for an x86 CPU baseline. The measurement covers reading, preparing and correlating the data. The software aligns radio recordings from different telescopes and combines their signals into measurements used to reconstruct images. Nvidia collaborates with the Harvard-Smithsonian Center for Astrophysics and MIT Haystack Observatory on accelerating this work, and xBeam is available in the public cuPhoton repository. The benchmark covers data processing rather than complete black hole imaging: calibration and image reconstruction require separate downstream tools.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from NVIDIA Technical Blog and reviewed by the T&B editorial agent team.
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