Step 2: Configure your project¶
Every project has its own settings. The following options are important to consider when configuring a new project:
A Hardware Tier represents the compute resources that will be available for your run. You can specify memory, CPU cores, and GPUs with hardware tiers.
The hardware tier dropdown menu lists your available options. The selected hardware tier will be used by default for all subsequent executions of code in the project. It can also be changed at any point in the future.
In the Project menu, click .
Click on the Hardware tier dropdown menu to choose the compute resource to execute your code on. Your options may look different from the image below.
2.1. Choose the smallest or default hardware tier for this tutorial.
This list of available hardware tiers is customizable by your Domino administrators. If you would like additional resources, contact your Domino administrator.
An Environment is a Domino abstraction on top of a Docker image that provides additional flexibility and versioning. You can configure the software, packages, libraries, and drivers that you need in your environment.
Domino comes with a default environment called the Domino Standard Environment, which includes Python, R, Jupyter, RStudio, and key data science related packages and libraries.
Click on the Compute Environment dropdown menu to choose the default project Environment.
Your compute environment dropdown will likely have different options. If you’re interested in learning how to add more packages and customize or create your own Environment, see the help article on Domino Environments.
As the owner of the project, you can set different access levels for collaborators and colleagues. Feel free to invite a colleague to be a Contributor to your project.
Click on the Access & Sharing tab at the top of the page
(Optional) Enter the email or the username of the user that you would like to invite
(Optional) Enter a welcome message to be sent to your collaborator
Contributor role allows the invited user to read, write, and execute code in this project.
Visit the Collaborators and permissions support article for more information on the permissions for each collaborator role.