A research team needs to run distributed deep-learning model training on Azure. The workload requires high inter-node bandwidth for GPU-to-GPU communication across multiple VMs, uses NVIDIA GPUs, and must complete large training jobs as fast as possible. The team wants the most appropriate compute configuration. Which VM series and networking feature should you recommend?