1. Find a hosting provider with enough server capacity and flexibility to accommodate your needs. Depending on the size of your project, you may want to look for a provider that offers cloud hosting, which allows you to scale up or down as needed.

2. Configure the servers to fit your project's requirements. This may involve establishing a distributed storage system or setting up a cluster of servers to run your AI models.

3. Connect the servers together via the internet. Depending on the size of the project, you may need to connect them using a VPN or dedicated private network.

4. Configure the servers to run your AI models. This may involve setting up a distributed computing system or writing custom code to run the models on the servers.

5. Test the system to ensure it is working correctly.

6. Deploy the system to begin training and running your AI models.
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