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Update README.md #49

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Expand Up @@ -5,7 +5,7 @@
NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in mixed integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRP). It enables near real-time solutions for large-scale challenges with millions of variables and constraints, offering
easy integration into existing solvers and seamless deployment across hybrid and multi-cloud environments.

Core engine is written in C++ which is wrapped into C API, Python API and Server API.
The core engine is written in C++ and wrapped with a C API, Python API and Server API.

For the latest stable version ensure you are on the `main` branch.

Expand Down Expand Up @@ -106,4 +106,4 @@ Review the [CONTRIBUTING.md](CONTRIBUTING.md) file for information on how to con
- [cuopt (Server) documentation](https://docs.nvidia.com/cuopt/user-guide/latest/cuopt-server/index.html)
- [Examples and Notebooks](https://github.com/NVIDIA/cuopt-examples)
- [Test cuopt with NVIDIA Launchable](https://brev.nvidia.com/launchable/deploy?launchableID=env-2qIG6yjGKDtdMSjXHcuZX12mDNJ): Examples notebooks are pulled and hosted on [NVIDIA Launchable](https://docs.nvidia.com/brev/latest/).
- [Test cuopt on Google Colab](https://colab.research.google.com/github/nvidia/cuopt-examples/): Examples notebooks can be opened in Google Colab. Please note that you need to choose a `Runtime` as `GPU` in order to run the notebooks.
- [Test cuopt on Google Colab](https://colab.research.google.com/github/nvidia/cuopt-examples/): Examples notebooks can be opened in Google Colab. Please note that you need to choose a `Runtime` as `GPU` in order to run the notebooks.