Define the workload
State whether the project is training, fine-tuning or inference. Include model size, expected runtime and storage needs.
Describe the cluster
List GPU model, node count, memory, network topology, storage throughput and region preferences. Ask the provider to confirm the complete configuration.
Set acceptance criteria
Agree how configuration and network performance will be checked, and who coordinates resource acceptance.