Skip to content

Commit ce29919

Browse files
Update introduction to use engine instead of library (#536)
<!-- Thank you for contributing to cuOpt :) Here are some guidelines to help the review process go smoothly. Many thanks in advance for your cooperation! Note: The pull request title will be included in the CHANGELOG. --> ## Description Update introduction to use engine instead of library ## Checklist - [x] I am familiar with the [Contributing Guidelines](https://github.com/NVIDIA/cuopt/blob/HEAD/CONTRIBUTING.md). - Testing - [ ] New or existing tests cover these changes - [ ] Added tests - [ ] Created an issue to follow-up - [x] NA - Documentation - [ ] The documentation is up to date with these changes - [x] Added new documentation - [ ] NA
1 parent ab1cc2b commit ce29919

File tree

2 files changed

+2
-2
lines changed

2 files changed

+2
-2
lines changed

docs/cuopt/source/introduction.rst

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
Introduction
33
==========================
44

5-
**NVIDIA® cuOpt™** is a GPU-accelerated optimization library that solves `Mixed Integer Linear Programming (MILP) <https://en.wikipedia.org/wiki/Linear_programming#Integer_unknowns>`_, `Linear Programming (LP) <https://en.wikipedia.org/wiki/Linear_programming>`_, and `Vehicle Routing Problems (VRP) <https://en.wikipedia.org/wiki/Vehicle_routing_problem>`_. It enables solutions for large-scale problems with millions of variables and constraints, offering seamless deployment across hybrid and multi-cloud environments.
5+
**NVIDIA® cuOpt™** is a GPU-accelerated optimization engine that solves `Mixed Integer Linear Programming (MILP) <https://en.wikipedia.org/wiki/Linear_programming#Integer_unknowns>`_, `Linear Programming (LP) <https://en.wikipedia.org/wiki/Linear_programming>`_, and `Vehicle Routing Problems (VRP) <https://en.wikipedia.org/wiki/Vehicle_routing_problem>`_. It enables solutions for large-scale problems with millions of variables and constraints, offering seamless deployment across hybrid and multi-cloud environments.
66

77
Using accelerated computing, NVIDIA® cuOpt optimizes operations research and logistics by enabling better, faster decisions.
88

docs/cuopt/source/system-requirements.rst

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -56,7 +56,7 @@ Dependencies are installed automatically when using the pip and Conda installati
5656
- ARM64
5757

5858
* GPU:
59-
- NVIDIA H100 SXM (compute capability >= 9.0)
59+
- NVIDIA H100 SXM (compute capability >= 9.0) and above
6060

6161
* CPU:
6262
- 32+ cores

0 commit comments

Comments
 (0)