A research team is deploying a 16-node GPU cluster to train a large language model. Each node contains 8 GPUs connected internally by NVLink and NVSwitch. During distributed training, gradient synchronization traffic between nodes is becoming a bottleneck, and the team observes GPUs sitting idle while waiting on cross-node communication. Which networking technology should they adopt between nodes to minimize this communication overhead for the multi-node training job?