From e9e95b2af08ae42a9332bb7f6d402c5825708e78 Mon Sep 17 00:00:00 2001 From: "Ram (Ramakrishna Prabhu)" <42624703+rgsl888prabhu@users.noreply.github.com> Date: Tue, 30 May 2023 11:08:34 -0500 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fe7d9b9..7efd146 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ This repository contains a collection of resources demonstrating use of NVIDIA c The cuOpt-Resources repository is under [MIT License](LICENSE.md) -Use of NVIDIA cuOpt is subject to the [End User License Agreement](https://docs.nvidia.com/cuopt/NVIDIA_cuOpt_EULA.pdf) +Use of NVIDIA cuOpt is subject to the [End User License Agreement](https://docs.nvidia.com/cuopt/pdfs/NVIDIA-cuOpt-EULA.pdf) @@ -13,7 +13,7 @@ Use of NVIDIA cuOpt is subject to the [End User License Agreement](https://docs. cuOpt uses highly optimized GPU-accelerated solvers relying on heuristics, metaheuristics, and optimization. In addition to providing dramatically accelerated, world class solutions to some of the most difficult optimization problems, NVIDIA cuOpt prioritizes ease of use through high level Python SDK and service APIs - [cuOpt Docs](https://docs.nvidia.com/cuopt/overview.html) + [cuOpt Docs](https://docs.nvidia.com/cuopt/user-guide/overview.html) ## Contents * NVIDIA cuOpt Python SDK example notebooks @@ -28,4 +28,4 @@ cuOpt uses highly optimized GPU-accelerated solvers relying on heuristics, metah # Try NVIDIA cuOpt - [NVIDIA cuOpt Launchpad Lab](https://www.nvidia.com/en-us/launchpad/ai/get-started-with-cuopt/) -- [NVIDIA cuOpt DLI Course](https://courses.nvidia.com/courses/course-v1:DLI+T-FX-05+V1/) \ No newline at end of file +- [NVIDIA cuOpt DLI Course](https://courses.nvidia.com/courses/course-v1:DLI+T-FX-05+V1/)