GPU accelerated decision optimization
NVIDIA cuOpt is an optimization engine that uses GPUs to solve mathematical planning problems such as linear programming, quadratic programming, and vehicle routing. Developers and operations teams use its C++, C, Python, and server APIs for large-scale optimization, while the catalogue's agent skills connect it with agent-based optimization workflows.
Latest release v26.10.00 · 14 Oct 2026
3 files for GitHub Copilot, Codex, OpenCode and Windsurf: cuopt copilot-instructions.md, cuopt AGENTS.md, windsurfrules — 920 tokens loaded in every session.
.github/copilot-instructions.md A 4 tok AGENTS.md A 913 tok .windsurfrules A 3 tok These files are NVIDIA/cuopt's own configuration — they tell GitHub Copilot, Codex, OpenCode and Windsurf how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.