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  • Download Available
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  • Developer Example
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  • Route Optimization
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  • cuOpt
    14
    • NVIDIA
    Downloadable

    cuopt

    World-record accuracy and performance for complex route optimization.
    Model
    Route Optimization
    83K
    1y

    Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
    Skill
    Developer
    1K
    1mo
    Items per page
    of 1 pages

    Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
    Skill
    Developer
    1K
    1mo

    Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.
    Skill
    Developer
    1K
    1mo

    Trace and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
    Skill
    Developer
    46
    1d

    cuOpt REST server — what it does and how requests flow. Domain concepts; no deploy or client code.
    Skill
    Developer
    1K
    1mo

    Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
    Skill
    Developer
    1K
    1mo

    cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
    Skill
    Developer
    1K
    1mo

    LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
    Skill
    Developer
    983
    1mo

    Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.
    Skill
    Developer
    972
    1mo

    After solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active — applies to every interaction.
    Skill
    Developer
    1K
    1mo

    Solve LP, MILP, QP (beta) with cuOpt Python API — linear/quadratic objectives, integer variables, scheduling, portfolio, least squares.
    Skill
    Developer
    1K
    1mo

    LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++.
    Skill
    Developer
    1K
    1mo

    LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line.
    Skill
    Developer
    1K
    1mo
    Financial Services
    LaunchableDeveloper Example

    Quantitative Portfolio Optimization

    Enable fast, scalable, and real-time portfolio optimization for financial institutions.
    Blueprint
    developer example
    4mo
    DGX Spark
    20 MIN

    Portfolio Optimization

    GPU-Accelerated portfolio optimization using cuOpt and cuML
    Playbook
    Data Science
    5mo

    Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, efficient frontiers, scenario generation, or NVIDIA cuOpt.
    Skill
    Developer
    658
    16d