1. In the Gcore Customer Portal, open the GPU cloud page. You'll be taken to the page for AI cluster creation.
2. Select a region, which is a physical location of the data center. For example, if you choose Manassas, your cluster will be deployed on servers in Manassas.
3. Choose the flavor with relevant cluster configuration and allocated resources. The number in vPOD means the number of IPU-processors in your cluster. For instance, one Graphcore server consists of four IPU-processors.
4. Select the OS image on which your model will be running.
5. Configure volumes and set the size of your cluster. Note that you can't change the cluster size after its creation.
6. Set up a network interface. You can choose a public or private one:
Public: Attach this interface if you are planning to use the GPU Cloud with servers hosted outside of Gcore Cloud. Your cluster will be accessible from external networks.
Private: If you want to use the service with Gcore servers only. Your cluster will be available only for internal networks.
Select one of the existing networks or create a new one to attach it to your server.
7. (Optional) If you want to assign a reserved IP address to your server, turn on the Use reserved IP toggle and select one. For more details, refer to the article Create and configure a reserved IP address.
8. Turn on the Use floating IP toggle if you want to use a floating IP address. It’ll make your server accessible from outside networks even if they have only a private interface. Create a new IP address or choose an existing one. For more details, check out the article Create and configure a floating IP address.
9. (Optional) If you need several network interfaces, click Add Interface and repeat the instructions from to Step 6.
10. Select one of your SSH keys from the list, add a new key, or generate a key pair. You'll use this SSH key to connect to your cluster.
11. (Optional) To add metadata to your cluster, enable the Additional options toggle and add tags as key-value pairs.
12. Name your cluster and click Create Cluster.
You’ve successfully created the cluster. Use the IP address of your AI Cluster and the SSH key from Step 10 and connect to your server.
User login: ubuntu
Connection port: 22
Was this article helpful?
Discover our offerings, including virtual instances starting from 3.7 euro/mo, bare metal servers, AI Infrastructure, load balancers, Managed Kubernetes, Function as a Service, and Centralized Logging solutions.