Hourly Plan Machine Rent
Here's how to rent GPU machines on an hourly basis.
Last updated
Here's how to rent GPU machines on an hourly basis.
Last updated
1. Click the "Select Machine" button for your desired machine to move to the template selection window.
2. Choose the template you want to use from the list.
A template provides pre-installed libraries, allowing researchers to proceed with their work without setting up the environment separately.
3. Click the "Rent" button, and a machine rental popup will appear where you can review the machine information once again.
If you want to save your working environment and data after returning the machine, link the created hourly storage (Hourly Storage) or the assigned long-term storage (Long-term Storage) to the machine.
Without linking the storage, only the default storage capacity (1,182GB for A100) will be available. In this case, your working environment and data will be lost when the machine is returned.
Additionally, you can find how to create an hourly storage here (Create an Hourly Storage) and how to create a long-term storage here (Create a long-term Storage)
Click the "Rent" button to complete the rental process. The machine will be added to your list of Machine being rented.
Machines Rental Notes
If your available points are less than the machine's hourly rate, rental will not be possible.
Please recharge your points and try again or select a different machine.
In My Page > Dashboard > Machines being rented, you can click on a rented machine to see connection information, machine details, and template information at the bottom.
Copy the SSH connection information and password provided in the connection information and enter them into your terminal to use the GPU Cloud service.
