Automate Distributed Training

Run distributed training jobs across multiple GPUs and nodes. The agent configures the distributed runtime, monitors synchronization, and handles common distributed training failures.

What you'll accomplish

• Configure multi-GPU and multi-node distributed training
• Set up data parallelism or model parallelism strategies
• Monitor gradient synchronization and communication overhead
• Detect and recover from common distributed training failures

Getting started

Define a distributed training workflow, select your target cluster, and let the agent handle the distributed configuration and launch.