Add WEKA to an existing SageMaker HyperPod cluster
Last updated
Last updated
Clone the GitHub repository:
Enter the sagemaker-hyperpod directory:
Verify AWS cli region configuration:
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.
Ensure the optional parameter "Availability zone ID to deploy the backup private subnet" is configured with a valid entry. If the CloudFormation template has already been deployed, update the existing stack using the existing template.
Edit the sagemaker-hyperpod-SecurityGroup rule created by the 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.
Run set_env_vars.sh
:
Cloud_Formation_Stack
: Name of the existing CloudFormation stack.
Run deploy_weka_into_existing_cluster.sh
replacing <weka_backend_ip>
with either a WEKA backend IP or Application Load Balancer DNS name and <FS Name>
with the name of the WEKA filesystem you wish to mount.
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.
Login to one of the cluster nodes using SSH or SSM.
Verify mount using df:
The WEKA filesystem is mounted at /mnt/weka
on all SageMaker HyperPod nodes.
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
Create a directory to use as your Terraform working directory.
Inside this directory, create a file named main.tf
and paste the following configuration:provider "aws" {
Step 2: Update the Terraform configuration file
Update the following variables in the main.tf
file with the required values:
AWS region
AWS region to deploy WEKA
Example: eu-west-1
weka_version
Example: 4.4.2
get_weka_io_token
Example: H5BPF1ssQrstCVz@get.weka.io
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
Initialize Terraform:
Plan the deployment:
Apply the configuration to deploy the WEKA cluster:
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.
WEKA software version to deploy. Must be version 4.2.15
or later. Available at .
Token retrieved from .