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Clusters are ideal for interactive development, debugging, and building new projects. If you have working code and want to run experiments, Jobs are recommended instead.
Make sure you’ve installed the TensorPool CLI and configured your API key.

Create Your First GPU Cluster

Create a 1xB200
tp cluster create -t 1xB200
For multi-node training, create a 4-node 8xB200 cluster:
tp cluster create -t 8xB200 -n 4
See instance types for all available GPU configurations.

Check Your Cluster Status

The tp cluster create command will give you a cluster ID. Use it to check your cluster’s status:
tp cluster info <cluster_id>
If you lose the cluster ID, you can always find it with tp cluster list

SSH Into Your Cluster

Once your cluster is ready, you’ll receive the connection details. SSH into your nodes and start training!Connect using the TensorPool CLI:
tp ssh <instance_id>

Clean Up

When you’re done, destroy your cluster:
tp cluster destroy <cluster_id>

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Next Steps