Run your data science workloads on high-performance cloud infrastructure in the fewest of steps.
You can download and install the CLI for any of the following platforms.
| Supported Platform | Download (Latest) |
|---|---|
| Windows | Link |
| Linux | Link |
| macOS | Link |
To download a specific version, visit the releases page.
First you need to initialize Phoenix in your data science project directory:
phx initThis will create a .phoenix folder inside your project root directory.
Next you need to login to the Phoenix Platform by running this command and filling out your credentials in the prompts:
phx loginAs easily as that, now your project is ready for the cloud.
You can run a job:
phx run --cluster $CLUSTER_NAME --flavor $FLAVOR_NAME --name $YOUR_JOB_NAME $COMMAND $ARGSYou can also run a Jupyter Notebook on-demand and attach it to Google Colab as an external powerful non-interrupting runtime kernel:
phx jupyter create --cluster $CLUSTER_NAME --flavor $FLAVOR_NAME --name $YOUR_JUPYTER_INSTANCE_NAME
phx jupyter attachNow, as long as your terminal is open, you can connect your Colab to this runtime using the "Connect to a local runtime" button in Colab interface.
You can read more about how to connect Colab to a local runtime here.
If you had any questions or problems, join our server on Discord.