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Dear decision optimization experts and enthusiasts,
NVIDIA cuOpt 26.10 is now officially released and available via GitHub repo, Docker Hub page, and is also installable via pip and conda.
For cuOpt documentation including release notes for 26.10, please visit here.
cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically constrained quadratic programming (QCQP) (beta), second-order cone programming (SOCP) (beta), and mixed integer programming (MIP) (beta). cuOpt enables near real-time solutions for large-scale LPs with millions of variables and constraints and offers easy integration into existing modeling languages with seamless deployment across hybrid and multi-cloud environments.
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Dear decision optimization experts and enthusiasts,
NVIDIA cuOpt 26.10 is now officially released and available via GitHub repo, Docker Hub page, and is also installable via pip and conda.
For cuOpt documentation including release notes for 26.10, please visit here.
cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically constrained quadratic programming (QCQP) (beta), second-order cone programming (SOCP) (beta), and mixed integer programming (MIP) (beta). cuOpt enables near real-time solutions for large-scale LPs with millions of variables and constraints and offers easy integration into existing modeling languages with seamless deployment across hybrid and multi-cloud environments.
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