Step 1: Launch a DLAMI - Deep Learning AMI

Step 1: Launch a DLAMI

Note

For this walkthrough, we might make references specific to the Deep Learning AMI (Ubuntu 18.04). Even if you select a different DLAMI, you should be able to follow this guide.

  1. Find the ID of your DLAMI

  2. Launch an Amazon EC2 instance from your DLAMI

    You will use the Amazon EC2 Console. Follow the instructions detailed in Launch from Amazon EC2 Console

    Tip

    CLI Option: If you choose to spin up a DLAMI using the AWS CLI, you will need the AMI's ID, the region and instance type, and your security token information. Be sure you have your AMI and instance IDs ready. If you haven't set up the AWS CLI yet, do that first using the guide for Installing the AWS Command Line Interface.

  3. After you have completed the steps of one of those options, wait for the instance to be ready. This usually takes only a few minutes. You can verify the status of the instance in the EC2 Console.

Retrieve the DLAMI ID

Each AMI possesses a unique identifier (ID). You can query the ID for the DLAMI of your choice with the AWS Command Line Interface (AWS CLI). If you do not already have the AWS CLI installed, see Getting started with the AWS CLI.

Note

Reminder: You can find all DLAMIs and their related processor/accelorator, operating system, compute architecture, recommended Amazon EC2 instance families, support status, and ID retrieval queries, in the AWS Deep Learning AMI Catalog. See also the DLAMI release notes in Release Notes for DLAMI for additional informations (drivers, python versions, Amazon EBS type).

  1. Make sure that your AWS credentials are configured.

    aws configure
  2. Use the following command to retrieve the ID of your DLAMI or find the query provided in the AWS Deep Learning AMI Catalog.

    aws ec2 describe-images --region us-east-1 --owners amazon \ --filters 'Name=name,Values=Deep Learning AMI (Ubuntu 18.04) Version ??.?' 'Name=state,Values=available' \ --query 'reverse(sort_by(Images, &CreationDate))[:1].ImageId' --output text
    Note

    You can specify a release version for a given framework or get the latest release by replacing the version number with a question mark.

  3. The output should look similar to the following:

    ami-094c089c38ed069f2

    Copy this DLAMI ID and press q to exit the prompt.

Next Step

Launch from Amazon EC2 Console

Launch from Amazon EC2 Console

Note

To launch an instance with Elastic Fabric Adapter (EFA), refer to these steps.

  1. Open the EC2 Console.

  2. Note your current region in the top-most navigation. If this isn't your desired AWS Region, change this option before proceeding. For more information, see EC2 Regions.

  3. Choose Launch Instance.

  4. Enter a name for your instance and select the DLAMI that is right for you.

    1. Find an existing DLAMI in My AMIs or choose Quick Start.

    2. Search by DLAMI ID. Browse the options then select your choice.

  5. Choose an instance type. You can find the recommended instance families for your DLAMI in the AWS Deep Learning AMI Catalog. For general recommendations on DLAMI instance types, see Instance Selection.

    Note

    If you want to use Elastic Inference (EI), click Configure Instance Details, select Add an Amazon EI accelerator, then select the size of the Amazon EI accelerator.

  6. Choose Launch Instance.

Tip

Check out Get Started with Deep Learning Using the AWS Deep Learning AMI for a walk-through with screenshots.

Next Step

Step 2: Connect to the DLAMI