# Using the DLAMI with AWS Neuron
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 A typical workflow with the AWS Neuron SDK is to compile a previously trained machine learning model on a compilation server. After this, distribute the artifacts to the Inf1 instances for execution. AWS Deep Learning AMIs (DLAMI) comes pre-installed with everything you need to compile and run inference in an Inf1 instance that uses Inferentia. 

 The following sections describe how to use the DLAMI with Inferentia. 

**Topics**
+ [Using TensorFlow-Neuron and the AWS Neuron Compiler](tutorial-inferentia-tf-neuron.md)
+ [Using AWS Neuron TensorFlow Serving](tutorial-inferentia-tf-neuron-serving.md)
+ [Using MXNet-Neuron and the AWS Neuron Compiler](tutorial-inferentia-mxnet-neuron.md)
+ [Using MXNet-Neuron Model Serving](tutorial-inferentia-mxnet-neuron-serving.md)
+ [Using PyTorch-Neuron and the AWS Neuron Compiler](tutorial-inferentia-pytorch-neuron.md)