httpv://www.youtube.com/watch?v=IkoHd01G3GI
In this video, researchers use the Chevron Visualization Laboratory at Rice University to explore complex data through a 200-inch, interactive 3-D display.
Rice University scientists and students have a new way to see the big picture. The NSF-funded DAVinCI visualization wall at Rice’s Chevron Visualization Laboratory enables scientists to boost data into three dimensions to probe details in ways that were not possible until now.
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[SPONSORED GUEST ARTICLE] Scaling GenAI inference performance requires increasing the number of GPUs or accelerators working in parallel within the scale-up domain. In-package optical I/O offers a path forward by breaking the ….
Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.
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