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. To set up distributed training, see Distributed Training.

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.

Note

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.

• Amazon EC2 P3 Instances have up to 8 NVIDIA Tesla V100 GPUs.

• Amazon EC2 P4 Instances have up to 8 NVIDIA Tesla A100 GPUs.

• Amazon EC2 G3 Instances have up to 4 NVIDIA Tesla M60 GPUs.

• Amazon EC2 G4 Instances have up to 4 NVIDIA T4 GPUs.

• Amazon EC2 G5 Instances have up to 8 NVIDIA A10G GPUs.

• Amazon EC2 G5g Instances have Arm-based AWS Graviton2 processors.

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 Graviton DLAMI.

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Recommended CPU Instances