NVIDIA/cuopt-examples

cuopt-model-mapper

Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.

원문 언어: 영어

cuopt-sandbox

Run cuOpt in the NemoClaw sandbox — probe/smoke gates, prefer cancelable Python gRPC jobs, use legacy remote execution only when that API is unavailable, then vendored cuOpt skills.

원문 언어: 영어

optimization-mode-router

Choose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.

원문 언어: 영어

tabular-optimization-ingestion

Infer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.

원문 언어: 영어

cuopt-debugging

Troubleshoot cuOpt LP/MILP problems including errors, wrong results, infeasible solutions, performance issues, and status codes. Use when the user says something isn't working, gets unexpected results, or needs help diagnosing issues.

원문 언어: 영어

optimization-from-data-orchestrator

Coordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.

원문 언어: 영어

optimization-intent-router

Classify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.

원문 언어: 영어

generic-max-supply

Multi-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.

원문 언어: 영어