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USASI
SoftwareFramework

NVIDIA cuOpt

Project record

Maintained by NVIDIA431

cuOpt is NVIDIA's GPU-accelerated optimization engine for linear programming, quadratic programming, and vehicle routing, with beta support for mixed integer, quadratically constrained quadratic, and second-order cone programming. Its core is written in C++ with C, Python, and server APIs. NVIDIA announced in March 2025 that it would open-source cuOpt, and an NVIDIA post in June 2025 said it was available under Apache 2.0.1589Fact reviewed Oct 1, 2026

Last reviewedEntry updated Documented release Unknown

Availability and license

Overall availability

Public

Source code is public on GitHub, with pip packages from the NVIDIA Python Package Index, conda packages, and Docker Hub container images. Separately, the documentation says the cuOpt microservice offered through NVIDIA AI Enterprise requires an NVIDIA AI Enterprise license or NVIDIA Developer Program membership.15

Availability fact review: Oct 1, 2026

Availability is separate from permission: read the license before using or redistributing.

The Apache 2.0 license covers the open-source repository. The NVIDIA AI Enterprise offering is subject to its own licensing; the documentation says NVIDIA AI Enterprise support extends only to the cuOpt routing service API. Contributions require a Developer Certificate of Origin sign-off.254Fact reviewed Oct 1, 2026

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.
weights
Unknown — no complete fact-level rights review
code
Reviewed qualifying license recorded — check scope and conditions
data
Unknown — no complete fact-level rights review
documentation
Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Public materials checklist

Items for a framework under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.
Public materials checklist for NVIDIA cuOpt
ItemStatusNotes and evidence
Source codeIs the source code publicly readable?PublicDeveloped in the public NVIDIA/cuopt GitHub repository, which is also hosted as a COIN-OR project.1
DocumentationIs user documentation published?PublicNVIDIA publishes a user guide covering the routing, LP, QP, and MIP features and the C, Python, and server APIs; the README says the C++ API is not documented.51
InstallationAre installation instructions or packages publicly available?PublicThe README documents pip, conda, Docker Hub containers (Ubuntu and FIPS-oriented UBI10 images), and building from source.1
Supported platformsAre supported operating systems or hardware documented?PublicLinux on x86_64 and aarch64, and Windows through WSL2; NVIDIA Volta or newer GPUs (compute capability 7.0+), CUDA 12.0+ or 13.0+, and Python 3.11 to 3.14.16
Release statusAre versioned releases published?PublicVersioned releases follow the RAPIDS release schedule; v26.08.00, published on GitHub on August 6, 2026, was the latest non-prerelease when checked.71

What it is useful for

Solving large linear and mixed integer programs and routing problems such as traveling salesperson, vehicle routing, and pickup-and-delivery problems, either as a library or as a self-hosted optimization service; the README notes the MIP solver is in beta.15Fact reviewed Oct 1, 2026

Organization context

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S.-governed project

The repository is in NVIDIA's GitHub organization, source files carry NVIDIA Corporation & Affiliates copyright notices, and the contribution guide says the NVIDIA cuOpt team triages issues and schedules them for releases. The README says the repository is also hosted as a COIN-OR project, and NVIDIA's posts describe working with the COIN-OR Foundation to make and distribute cuOpt as open source; no governing role for COIN-OR is documented in the sources reviewed. NVIDIA's principal executive offices are in Santa Clara, California, per its Form 10-Q for the quarter ended July 26, 2026.4318910

Assessed Oct 1, 2026

Sources

  1. 1.
    NVIDIA/cuopt README (external site: raw.githubusercontent.com)

    NVIDIA (GitHub) · Repository · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  2. 2.
    NVIDIA/cuopt LICENSE (Apache License 2.0) (external site: raw.githubusercontent.com)

    NVIDIA (GitHub) · License · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  3. 3.
    NVIDIA/cuopt python/cuopt/cuopt/__init__.py (SPDX copyright and license header) (external site: raw.githubusercontent.com)

    NVIDIA (GitHub) · Repository · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  4. 4.
    NVIDIA/cuopt CONTRIBUTING.md (external site: raw.githubusercontent.com)

    NVIDIA (GitHub) · Repository · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  5. 5.
    Introduction — NVIDIA cuOpt User Guide (external site: docs.nvidia.com)

    NVIDIA · Documentation · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  6. 6.
    System Requirements — NVIDIA cuOpt User Guide (external site: docs.nvidia.com)

    NVIDIA · Documentation · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  7. 7.
    NVIDIA/cuopt release v26.08.00 (external site: github.com)

    NVIDIA (GitHub) · Release notes · published Aug 6, 2026 · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  8. 8.
    NVIDIA Open-Sources cuOpt, Ushering in New Era of Decision Optimization (external site: blogs.nvidia.com)

    NVIDIA Blog · Announcement · published Mar 18, 2025 · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  9. 9.
    Accelerate Decision Optimization Using Open Source NVIDIA cuOpt (external site: developer.nvidia.com)

    NVIDIA Technical Blog · Announcement · published Jun 11, 2025 · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

  10. 10.
    NVIDIA Corporation Form 10-Q for the quarter ended July 26, 2026 (external site: sec.gov)

    U.S. Securities and Exchange Commission (EDGAR) · Filing · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

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