Recommended GPU Instances - Deep Learning AMI

Recommended GPU Instances

We recommend a GPU instance for most deep learning purposes. Training new models is faster on a GPU instance than a CPU instance. You can scale sub-linearly when you have multi-GPU instances or if you use distributed training across many instances with GPUs.

The following instance types support the DLAMI. For information about GPU instance type options and their uses, see EC2 Instance Types and select Accelerated Computing.


The size of your model should be a factor in selecting an instance. If your model exceeds an instance's available RAM, select a different instance type with enough memory for your application.

DLAMI instances provide tooling to monitor and optimize your GPU processes. For more information about monitoring your GPU processes, see GPU Monitoring and Optimization.

For specific tutorials on working with G5g instances, see The ARM64 DLAMI.

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Recommended CPU Instances