Deploy a new Amazon SageMaker HyperPod cluster with WEKA

Deployment workflow for new Amazon SageMaker Hyperpod cluster

1. Prepare the environment for deployment.

2. Deploy WEKA cluster using Terraform.

3. Create Amazon SageMaker HyperPod cluster.

Prepare the environment for deployment

1. Deploy AWS CloudFormation template (or an equivalent) to create the prerequisites for the Amazon SageMaker HyperPod cluster.

   1. TheAWS CloudFormation template can be found at: Amazon SageMaker HyperPod > 0. Prerequisites > 2. Own Account.

   2. Ensure the optional parameter "Availability zone ID to deploy the backup private subnet" is configured with a valid entry. If the AWS CloudFormation template has already been deployed, update the existing stack using the existing template.

2. Retrieve the required for the WEKA package installation by accessing the WEKA download command at: https://get.weka.io/.

3. Edit the sagemaker-hyperpod-SecurityGroup rule created by the AWS CloudFormation template. Add the following inbound rules to allow access from your management workstation's CIDR range:

   • TCP port 22 (SSH)

   • TCP port 14000 (WEKA UI)

   This ensures that your management workstation can connect securely to the cluster.

Deploy WEKA cluster using Terraform

You can deploy a WEKA cluster using Terraform by choosing one of the following methods:

• Refer to the comprehensive documentation provided in WEKA installation on AWS using Terraform. This option is ideal if you are new to the process and require detailed guidance, including explanations of the concepts involved.

• Follow the concise step-by-step instructions provided below. This option assumes you are already familiar with the subject and are looking for a quick reference.

Step 1: Set up the Terraform working directory

1. Create a directory to use as your Terraform working directory.

2. Inside this directory, create a file named main.tf and paste the following configuration:provider "aws" {

provider "aws" {
    region = "<AWS region>"
}

module "deploy_weka" {
  source                        = "weka/weka/aws"
  weka_version                  = "<WEKA SW Version>"
  get_weka_io_token             = "<get weka token>"
  key_pair_name                 = "<key pair>"
  prefix                        = "<cluster prefix>"
  cluster_name                  = "<cluster name>"
  cluster_size                  = 6
  instance_type                 = "i3en.6xlarge"
  sg_ids                        = ["sg-xxxxxxxxxxxxxxxxx"]
  subnet_ids                    = ["subnet-xxxxxxxxxxxxxxxxx"]
  vpc_id                        = "vpc-xxxxxxxxxxxxxxxxx"
  alb_additional_subnet_id      = "subnet-yyyyyyyyyyyyyyyyyy"
  use_placement_group           = false
  assign_public_ip              = false
  set_dedicated_fe_container    = false
  secretmanager_create_vpc_endpoint = true
  tiering_enable_obs_integration = true
}

output "deploy_weka_output" {
  value = module.deploy_weka
}

Step 2: Update the Terraform configuration file

Update the following variables in the main.tf file with the required values:

Variable	Description	Example/Options
AWS region	AWS region to deploy WEKA	Example: eu-west-1
weka_version	WEKA software version to deploy. Must be version 4.2.15 or later. Available at https://get.weka.io/.	Example: 4.4.2
get_weka_io_token	Token retrieved from https://get.weka.io/.	Example: [e-mail]
key_pair_name	Name of an existing EC2 key pair for SSH access.
prefix	A prefix used for naming cluster resources. The prefix and cluster_name are concatenated with a hyphen (-) to form the names of resources created by the WEKA Terraform module.	Example: weka
cluster_name	Suffix for cluster resource names.	Example: cluster
cluster_size	Number of instances for the WEKA cluster backends. Minimum: 6.	Example: 6
instance_type	Instance type for WEKA cluster backends.	Options: i3en.2xlarge, i3en.3xlarge, i3en.6xlarge, i3en.12xlarge, or i3en.24xlarge.
sg_ids	A list of security group IDs for the cluster. These IDs are typically generated based on the CloudFormation stack name. By default, the naming convention follows the format: sagemaker-hyperpod-SecurityGroup-xxxxxxxxxxxxx	Example: ["sg-1d2esy4uf63ps5", "sg-5s2fsgyhug3tps9"]
subnet_ids	A list of private subnet IDs where the SageMaker HyperPod cluster will be deployed. These subnets must exist within the same VPC as the cluster and be configured for private communication.	Example: ["subnet-0a1b2c3d4e5f6g7h8", "subnet-1a2b3c4d5e6f7g8h9"]
vpc_id	The ID of the Virtual Private Cloud (VPC) where the SageMaker HyperPod cluster will be deployed. The VPC must accommodate subnets, security groups, and other related resources.	Example: vpc-123abc456def
alb_additional_subnet_id	Private subnet ID in a different availability zone for load balancing.	Example: [subnet-9a8b7c6d5e4f3g2h1]

Step 3: Deploy the WEKA cluster

1. Initialize Terraform:

   terraform init

2. Plan the deployment:

   terraform plan

3. Apply the configuration to deploy the WEKA cluster:

   terraform apply

   Confirm the deployment when prompted.

Step 4: Verify deployment

Ensure the WEKA cluster is fully deployed before proceeding. It may take several minutes for the configuration to complete after Terraform finishes executing.

Create Amazon SageMaker HyperPod cluster

1. Clone the WEKA cloud solutions repository Download the repository from GitHub:

   git clone https://github.com/weka/cloud-solutions/

2. Navigate to the SageMaker HyperPod directory Change to the relevant directory:

   cd cloud-solutions/aws/sagemaker-hyperpod

3. Verify AWS cli region configuration

aws configure list

Verify the region listed is the desired region for the SageMaker Hyperpod cluster. If it is not correct, set the AWS_REGION environment variable to the correct region.

export AWS_REGION=<desired region>

1. Set Cluster Configuration Run the script to set environment variables that defines the SageMaker Hyperpod cluster.

./set_env_vars.sh <Cloud_Formation_Stack>

• Cloud_Formation_Stack: Name of the existing CloudFormation stack.

1. Source environment variables

source env_vars

1. Create the cluster Run the deploy script:

./deploy.sh <ALB_NAME> <WEKA_FS_NAME>

• ALB_NAME: Obtain this from the AWS Console or Terraform output. It is a DNS name.

• WEKA_FS_NAME: Obtain this from the WEKA UI. The default filesystem name is default.

1. Monitor cluster creation Track the cluster creation process:

aws sagemaker list-clusters --output table

1. Continue setup Proceed with the setup by following Section 1, Step E of the Amazon SageMaker HyperPod workshop. The WEKA filesystem is mounted at /mnt/weka on all SageMaker HyperPod nodes.