FAQ

An On-Demand instance is a non-interruptible virtual machine that you can deploy and terminate at any time, paying only for the compute time you use.

You can pause and resume instances on providers where this feature is supported, allowing you to save the state and continue later without losing your progress, at a much lower cost than keeping the instance running. Current providers that support this feature include Runpod and Tensordock. Please note that the requested GPU resources might not be available when you try to resume the instance, which could lead to wait times.

No, once an instance is terminated, all data stored on it is permanently deleted and cannot be recovered.

You can click the Port Information button on your instance to see which ports are open:

Instances typically launch within a few minutes, but the exact time may vary depending on the provider. More detailed information on spin-up time is shown on your instance card.

We offer two security categories: Secure Cloud and Community Cloud.

Secure Cloud GPUs run in T3/T4 data centers, providing the highest reliability and security.

Community Cloud GPUs are provided by individual compute providers through a vetted, secure peer-to-peer system.

We are constantly adding new providers! You can find the current and upcoming list of providers here.

Each Pod has an hourly cost depending on the provider and GPU type. Your Prime Intellect credits are deducted every minute while the Pod is active. If your credits run out, your Pods will be automatically deleted. We highly recommend setting up our auto-top-up feature in your billing settings to ensure balances are automatically topped up as needed.

We are actively working on this feature and will update this section once it is available in the next few weeks.

Our Multi-Node clusters are GPU instances in our cloud consisting of 16 to 64+ NVIDIA H100 SXM Tensor Core GPUs. Single GPU nodes of 8xH100s are interconnected with fast Ethernet (100Gbps) connections.

You can follow our step-by-step guide on how to deploy and use a multi-node cluster for your use case here.

Yes, you can reserve instances for longer durations to ensure availability and reduce costs. Reach out to contact@primeintellect.ai for more information.

We are actively expanding our network of GPU providers, including both individual compute providers and larger cloud platforms. For more information, please contact us at contact@primeintellect.ai.