Tutorial: Create a managed compute environment using Amazon EC2 resources - Amazon Batch
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Tutorial: Create a managed compute environment using Amazon EC2 resources

Complete the following steps to create a managed compute environment using Amazon Elastic Compute Cloud (Amazon EC2) resources.

  1. Open the Amazon Batch console at https://console.amazonaws.cn/batch/.

  2. From the navigation bar, select the Amazon Web Services Region to use.

  3. In the navigation pane, choose Environments.

  4. Choose Create environment and then Compute environment.

  5. Configure the environment.

    1. For Compute environment configuration, choose Amazon Elastic Compute Cloud (Amazon EC2).

    2. For Orchestration type, choose Managed.

    3. For Name, specify a unique name for your compute environment. The name can contain up to 128 characters in length. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).

    4. For Service role, choose service-linked role that lets the Amazon Batch service make calls to the required Amazon API operations on your behalf. For example, choose AWSServiceRoleForBatch. For more information, see Using service-linked roles for Amazon Batch.

    5. For Instance role, choose to create a new instance profile or use an existing instance profile that has the required IAM permissions attached. This instance profile allows the Amazon ECS container instances that are created for your compute environment to make calls to the required Amazon API operations on your behalf. For more information, see Amazon ECS instance role. If you choose to create a new instance profile, the required role (ecsInstanceRole) is created for you.

    6. (Optional) Expand Tags.

      1. (Optional) For EC2 tags, choose Add tag to add a tag to resources that are launched in the compute environment. Then, enter a Key name and optional Value. Choose Add tag.

      2. (Optional) For Tags, choose Add tag. Then, enter a Key name and optional Value. Choose Add tag.

        For more information, see Tag your Amazon Batch resources.

    7. Choose Next.

  6. In the Instance configuration section:

    1. (Optional) For Enable using Spot instances, turn on Spot. For more information, see Spot Instances.

    2. (Spot only) For Maximum % on-demand price, choose the maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum price is 20%, then the Spot price must be less than 20% of the current On-Demand price for that EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price.

    3. (Spot only) For Spot fleet role, choose an existing Amazon EC2 Spot Fleet IAM role to apply to your Spot compute environment. If you don't already have an existing Amazon EC2 Spot Fleet IAM role, you must create one first. For more information, see Amazon EC2 spot fleet role.

      Important

      To tag your Spot Instances on creation, your Amazon EC2 Spot Fleet IAM role must use the newer AmazonEC2SpotFleetTaggingRole managed policy. The AmazonEC2SpotFleetRole managed policy doesn't have the required permissions to tag Spot Instances. For more information, see Spot Instances not tagged on creation and Tag your resources.

    4. For Minimum vCPUs, choose the minimum number of vCPUs that your compute environment maintains, regardless of job queue demand.

    5. For Desired vCPUs, choose the number of vCPUs that your compute environment launches with. As your job queue demand increases, Amazon Batch can increase the desired number of vCPUs in your compute environment and add EC2 instances, up to the maximum vCPUs. As demand decreases, Amazon Batch can decrease the desired number of vCPUs in your compute environment and remove instances, down to the minimum vCPUs.

    6. For Maximum vCPUs, choose the maximum number of vCPUs that your compute environment can scale out to, regardless of job queue demand.

    7. For Allowed instance types, choose the Amazon EC2 instance types that can be launched. You can specify instance families to launch any instance type within those families (for example, c5, c5n, or p3). Or, you can specify specific sizes within a family (such as c5.8xlarge). Metal instance types aren't in the instance families. For example, c5 doesn't include c5.metal.

      Amazon Batch can select the instance type for you if you choose one of the following:

      • optimal to select instance types (from the c4, m4, r4, c5, m5, and r5 instance families) that match the demand of your job queues.

      • default_x86_64 to choose x86 based instance types (from the m6i, c6i, r6i, and c7i instance families) that matches the resource demands of the job queue.

      • default_arm64 to choose x86 based instance types (from the m6g, c6g, r6g, and c7g instance families) that matches the resource demands of the job queue.

      Note

      Starting on 11/01/2025 the behavior of optimal is going to be changed to match default_x86_64. During the change your instance families could be updated to a newer generation. You do not need to perform any actions for the upgrade to happen. For more information about change, see .

      Note
      • Instance family availability varies by Amazon Web Services Region. For example, some Amazon Web Services Regions may not have any fourth generation instance families but have fifth and sixth generation instance families.

      • When using default_x86_64 or default_arm64 instance bundles, Amazon Batch selects instance families based on a balance of cost-effectiveness and performance. While newer generation instances often provide better price-performance, Amazon Batch may choose an earlier generation instance family if it provides the optimal combination of availability, cost, and performance for your workload. For example, in an Amazon Web Services Region where both c6i and c7i instances are available, Amazon Batch might select c6i instances if they offer better cost-effectiveness for your specific job requirements. For more information on Amazon Batch instance types and Amazon Web Services Region availability, see Instance type compute table.

      • Amazon Batch periodically updates your instances in default bundles to newer, more cost-effective options. Updates happen automatically without requiring any action from you. Your workloads continue running during updates with no interruption.

      Note

      When you create a compute environment, the instance types that you select for the compute environment must share the same architecture. For example, you can't mix x86 and ARM instances in the same compute environment.

      Note

      Amazon Batch will scale GPUs based on the required amount in your job queues. To use GPU scheduling, the compute environment must include instance types from the p3, p4, p5, p6, g3, g3s, g4, g5, or g6 families.

    8. For Allocation strategy, choose the allocation strategy to use when selecting instance types from the list of allowed instance types. BEST_FIT_PROGRESSIVE is usually the better choice for EC2 On-Demand compute environments, SPOT_CAPACITY_OPTIMIZED, and SPOT_PRICE_CAPACITY_OPTIMIZED for EC2 Spot compute environments. For more information, see Instance type allocation strategies for Amazon Batch.

    9. Expand Additional configuration.

      1. (Optional) For Placement group, enter a placement group name to group resources in the compute environment.

      2. (Optional) For EC2 key pair, choose a public and private key pair as security credentials when you connect to the instance. For more information about Amazon EC2 key pairs, see Amazon EC2 key pairs and Linux instances.

      3. (Optional) For EC2 configuration choose Image type and Image ID override values to provide information for Amazon Batch to select Amazon Machine Images (AMIs) for instances in the compute environment. If the Image ID override isn't specified for each Image type, Amazon Batch selects a recent Amazon ECS optimized AMI. If no Image type is specified, the default is a Amazon Linux 2 for non-GPU, non Amazon Graviton instance.

        Important

        To use a custom AMI, choose the image type and then enter the custom AMI ID in the Image ID override box.

        Amazon Linux 2

        Default for all Amazon Graviton-based instance families (for example, C6g, M6g, R6g, and T4g) and can be used for all non-GPU instance types.

        Amazon Linux 2 (GPU)

        Default for all GPU instance families (for example P4 and G4) and can be used for all non Amazon Graviton-based instance types.

        Amazon Linux 2023

        Amazon Batch supports Amazon Linux 2023.

        Note

        Amazon Linux 2023 does not support A1 instances.

        Amazon Linux 2023 (GPU)

        Default for all GPU instance families (for example P4 and G4) and can be used for all non Amazon Graviton-based instance types.

        Note

        The AMI that you choose for a compute environment must match the architecture of the instance types that you intend to use for that compute environment. For example, if your compute environment uses A1 instance types, the compute resource AMI that you choose must support ARM instances. Amazon ECS vends both x86 and ARM versions of the Amazon ECS optimized Amazon Linux 2 AMI. For more information, see Amazon ECS optimized Amazon Linux 2 AMI in the Amazon Elastic Container Service Developer Guide.

    10. (Optional) Expand Launch templates

      1. For Default launch template, select an existing Amazon EC2 launch template to configure your compute resources. The default version of the template is automatically populated. For more information, see Use Amazon EC2 launch templates with Amazon Batch.

        Note

        In a launch template, you can specify a custom AMI that you created.

      2. (Optional) For Default version, enter $Default, $Latest, or a specific version number to use.

        Note

        Note: If you use either substitution variable ($Default or $Latest), they will apply the current default or latest version number at the time that this configuration is saved. If the default or latest version changes in the future, you must update the information - it won't automatically update.

        Important

        If the version parameter of the launch template is $Default or $Latest, the default or latest version of the specified launch template is evaluated during an infrastructure update. If a different AMI ID is selected by the default or the latest version of the launch template is selected, that AMI ID is used in the update. For more information, see Updating the AMI ID.

      3. (Optional) For Override launch template choose Add override launch template

        1. (Optional) For Launch template, select an existing Amazon EC2 launch template to use for specific instance types and families.

        2. (Optional) For Default version, enter a specific version number to use, $Default, or $Latest.

          Note

          If you use either the $Default or $Latest variable, Amazon Batch will apply the current information at the time that the compute environment is created. If the default or latest version changes in the future, you must update the information through UpdateComputeEnvironment or through the Amazon Web Services Management Console - Amazon Batch.

        3. (Optional) For Target instance types, select the instance type or family that you want to apply the override launch template.

          Note

          If you specify an override launch template, Target instance types is required. For more information, see LaunchTemplateSpecificationOverride.targetInstanceTypes.

          Note

          If the instance type or family that you want to select doesn't appear in this list, review the selections you made in Allowed instance types.

    11. Choose Next.

  7. In the Network configuration section:

    Important

    Compute resources need access to communicate with the Amazon ECS service endpoint. This can be through an interface VPC endpoint or through your compute resources having public IP addresses.

    For more information about interface VPC endpoints, see Amazon ECS Interface VPC Endpoints (Amazon PrivateLink) in the Amazon Elastic Container Service Developer Guide.

    If you do not have an interface VPC endpoint configured and your compute resources do not have public IP addresses, then they must use network address translation (NAT) to provide this access. For more information, see NAT gateways in the Amazon VPC User Guide. For more information, see Create a VPC.

    1. For Virtual Private Cloud (VPC) ID, choose a VPC where to launch your instances.

    2. For Subnets, choose the subnets to use. By default, all subnets within the selected VPC are available.

      Note

      Amazon Batch on Amazon EC2 supports Local Zones. For more information, see Local Zones in the Amazon EC2 User Guide and Amazon ECS clusters in Local Zones, Wavelength Zones, and Amazon Outposts in the Amazon Elastic Container Service Developer Guide.

    3. (Optional) For Security groups, choose a security group to attach to your instances. By default, the default security group for your VPC is chosen.

      Note

      Note: If you use either substitution variable ($Default or $Latest), they will apply the current default or latest version number at the time that this configuration is saved. If the default or latest version changes in the future, you must update the information - it won't automatically update.

  8. Choose Next page.

  9. For Review, review the configuration steps. If you need to make changes, choose Edit. When you're finished, choose Create compute environment.