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Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt
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Tanya Lenz

· 1 min read

EngineeringNVIDIA Technical Blog

Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt

Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real...

Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real time. To meet these challenges, teams need to evaluate larger models and more uncertainty within a practical planning window. NVIDIA cuOpt GPU-accelerated decision optimization can already deliver speedups of more than 10x over CPU…

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This story was published by NVIDIA Technical Blog and written by Tanya Lenz. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on developer.nvidia.com

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