Frequently Asked Questions
All Ropotato machines come with a pre-installed OS: Ubuntu 22.04 or 24.04 depending on the Graphic Hardware Specifications. Incase you want to use a different OS, feel free to contact us. Our builds are customized for best performance and better Software Coverage
We provide pre-installed software components essential for running Torch, including:
- ROCm for AMD GPUs
- CUDA for NVIDIA GPUs
- Various other dependencies required for Torch
- Torch, Torch Vision, and Torch Audio
You can choose and rent a machine by browsing our available machines on the Machines page. Once you've selected a machine, and provided your payment method, you will be asked to submit your puvlic SSH key for the setup to start processing.
After renting a machine, you will receive an OpenVPN certificate file. You can use this file to establish a secure connection to your machine. Additionally, you need to provide your public SSH key to access the machine via SSH.
Our dedicated support team is available to assist you with setting up and optimizing your rented machines. Feel free to contact us for any support-related queries.
Yes, you have full control over the software environment on your rented machine. You can install, configure, and customize software as needed for your projects.
We accept various payment methods including credit cards, direct debit and PayPal.
Yes, you can customize the machine specifications to suit your requirements. You can contact us with your customized options for CPU, GPU, RAM, and storage.
Our website provides detailed information about each component. Additionally, you can contact our support team for personalized advice based on your specific requirements.
Yes, we offer several pre-configured machines optimized for different use cases, such as AI training, gaming, and video editing. You can choose a pre-configured machine if it meets your needs.
Upgrading the machine after renting is currently not supported. If you need a machine with higher specifications, you will need to rent a new machine and transfer your data.
Yes, you can rent multiple machines simultaneously. Our system allows you to manage multiple rentals from your dashboard.
You can view and manage all your rented machines from the dashboard. Each machine will have its own section with details and management options.
We offer discounts for bulk rentals. Please contact our sales team for more information about bulk rental discounts and special offers.
Our Rent-to-Own program allows you to rent a multi-GPU machine for 12 months, after which you can own the machine at zero cost! You only need to cover the shipping charges to receive your machine.
Simply rent a machine for a continuous period of 12 months. After this period, we will reach out and check if your willing to ship the machine to its new home.
No, after 12 months of continuous rental, the machine is yours at zero cost. The only expense will be the shipping fee to deliver the machine to your location.
Yes, you can choose to continue renting the machine after 12 months without shipping. You will receive a discount on your ongoing rental fees, and you can opt to have the machine shipped to you at any time, with only the shipping cost to pay.
Each rental will be billed separately based on the machine's configuration and rental period. You can view detailed billing information for each machine in your account’s billing section.
You can cancel any of your rentals from the dashboard. Navigate to the machine you wish to cancel and select the "Cancel Booking" option. Please note that cancellation policies may apply.
Yes, you can transfer data between your rented machines using our network. If you need assistance with data transfer, our support team is available to help.
IP addresses for each rented machine can be found in the IPs details section on your dashboard. If you encounter any issues with IP addresses, please contact our support team.
Ropotato stands out for its emphasis on performance. We achieve this through deep tuning and customization of both hardware and software to ensure optimal efficiency and effectiveness.