An instance is a virtual machine that you can set up and configure via Segmind. You can connect to an Instance via JupyterLab or VS Code interfaces (IDEs).
- Click on the "+" button at the top right.
- Select "New Instance" to create a new instance.
- Fill up the parameters shown in the table below.
- Click on "Create" to go ahead and create the instance for you.
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Select an environment. Eg. Tensorflow 2.2.2, PyTorch 1.4, LightGBM, XGBoost. You can add custom packages once you have started the instances.
Select the CPU, Memory, and GPU from available templates. You can change this anytime later.
Select an interface also called Integrated Development Environment. Choose between JupyterLab and VS Code.
Storage attached to the instance. Shutting down instances will retain the storage. Deleting instances will delete the storage
Connect a project to track its activities and costs.
Select a datastore to connect to. Learn more about here.
Select this to run the instance on spot mode. Instances that can be terminated at any time without notice. Spot instances are much cheaper (~ 50%) than normal instances and can be used to run non-critical workloads.
To stop an instance, click on the "Stop Notebook" button found under the settings tab on an instance page. Once you stop an instance, you won't be charged for the instance.
You can delete an instance from the settings menu on the right side of the Instance page. Remember that you will lose access to the environment you created and the data stored on the instance permanently when you delete the instance.