It offers a free CPU/GPU quota and a preconfigured virtual machine instance set up for to run Tensorflow and Keras libraries using a Jupyter notebook instance. If you eligible for a free academic license, please see the instructions for creating a named-user academic license.Colaboratory, also known as Colab, is a great tool created by Google for individuals interested in hands-on experience with the recent AI development.
Note that you will need a Gurobi license for your local machine for this to work.
Google Colab allows you to run notebook code locally, instead of via Google Cloud infrastructure, provided you have the right software installed. Note that it may take up to 5 minutes for the usage limit to reset and enable you to use Gurobi again.
Terminating running notebooks will ensure that any WLS license tokens they are using are released. This will show all running notebooks in your Google user account. If you run into usage limits unexpectedly, you can check how many Colab notebooks you have running by opening a new notebook and selecting Runtime -> Manage Sessions from the menu bar. Hitting your usage limit would result in the following (or similar) error when creating a Gurobi environment: Error 10030: Too many containers, 7 active containers for a baseline of 3 You may then run into usage limit issues, especially if you create many notebooks each using Gurobi. So, be aware that if you navigate away from the Colab notebook page without disposing of the environment (using model.dispose() and env.dispose()) or shutting down the runtime (colab menu -> runtime -> restart) then the WLS token will remain active. Once a gurobipy environment is created in Colab, it will not release the WLS tokens until the environment and all associated models are disposed of or the container shuts down. # Your credentials are private and should not be shared or copied to public repositories.