Installation

Type of installation

AWS Marketplace Azure Marketplace Migration from NLP Lab Dedicated Server

AWS Marketplace

The Generative AI Lab needs to be installed on a virtual machine. One of the most straight forward method is an installation from AWS Marketplace (also available on Azure). The fee for the Generative AI Lab depends on the number of CPU and GPU in the selected instance (Details can be listed in the product page in AWS marketplace). You will also have to pay for the underlying AWS EC2 instance.

Visit the product page on AWS Marketplace and follow the instructions on the video below to subscribe and deploy.

Steps to get started:

• Subscribe to the product on the AWS Marketplace.
• Deploy it on a new machine.

• In Launch an instance configuration attach IAM role to the AMI (IAM role attached to the AMI machine should have access to both aws-marketplace:MeterUsage and ec2:DescribeInstanceTypes permission)

  

• In advance details, enable Metadata accessible and select V1 and V2 in Metadata version

  

• Access the login page for a guided experience on http://INSTANCE_IP. For the first login use the following credentials: Username: admin Password: INSTANCE_ID

Secure access to Generative AI Lab on AWS

When installed via the AWS Marketplace, Generative AI Lab has a private IP address and listens on an unsecured HTTP port. You can ask your DevOps department to incorporate the resource to your standard procedures to access from the internet in a secure manner. Alternatively, a Cloud Formation script is available that can be used to create a front end proxy (CloudFront, ELB, and auxiliary Lambda Function). Those resources are Free Tier Eligible.

Create the AWS Cloud Formation Script in YAML format:

   vi cloudformation_https.yaml

AWSTemplateFormatVersion: '2010-09-09'
Metadata:
  License: Apache-2.0
Description: 'AWS CloudFormation To access Generative AI Lab via https:
  Create an Amazon EC2 instance running the Generative AI Lab Amazon Linux AMI. Once the
  Generative AI Lab instance is created, provide instance hostname as input. This Cloudfromation
  Creates Cloudfront. You can use Cloudfront Domain URL to access Generative AI Lab
  via https protocol.
  '
Parameters:
  NLPlabInstanceHostName:
    Description: HostName of the Generative AI Lab InstanceID
    Type: String
    ConstraintDescription: HostName of the Generative AI Lab InstanceID

Resources:
  CloudFront:
    Type: AWS::CloudFront::Distribution
    Properties:
      DistributionConfig:
        Enabled: True
        DefaultCacheBehavior:
          AllowedMethods:
            - DELETE
            - GET
            - HEAD
            - OPTIONS
            - PATCH
            - POST
            - PUT
          DefaultTTL: 0
          MaxTTL: 0
          MinTTL: 0
          Compress: True
          ForwardedValues:
            QueryString: true
            Headers:
              - '*'
            Cookies:
              Forward: all
          TargetOriginId: EC2CustomOrigin
          ViewerProtocolPolicy: redirect-to-https
        Origins:
          - DomainName: !Ref NLPlabInstanceHostName
            Id: EC2CustomOrigin
            CustomOriginConfig:
              HTTPPort: '80'
              OriginProtocolPolicy: http-only
Outputs:
  CloudfrontURL:
    Description: Cloudfront URL to access Generative AI Lab
    Value: !Join ["", ['https://', !GetAtt [CloudFront, DomainName]]]

Click Create a stack, “Upload a template file”. Give the Stack a name and enter the Generative AI Lab instance Hostname(from the EC2 console) as a parameter.

Next -> Next -> Acknowledge that AWS CloudFormation might create IAM resources. -> Submit. Wait a few minutes until all resources are created.

Once created, go do the Outputs tab and click on the Generative AI Lab URL. You may need to refresh the view.

Now, to access the Generative AI Lab, you go to the CloudFront URL and log in with username “admin” and password equal to the EC2 Instance ID noted earlier.

Enabling SSL

Requirements:

• Fullchain certificate
• Private key used to sign the certificate

For ease of documenting the process we are going to use the following notations (please replace with your actual values in the process):

• fullchain.pem – name of the fullchain certificate file
• privkey.pem – key used to sign the certificate
• demo.example.com – the domain used for genailab app

For marketplace instance, the installer scripts files have to be downloaded (if installed with the the scripts, the files are already on the server and this step can be skipped):

wget -q https://s3.amazonaws.com/auxdata.johnsnowlabs.com/annotationlab/annotationlab-"$version".tar.gz

Extract the archive and copy fullchain.pem and privkey.pem into artifacts directory.

Create Kubernetes secret to be used by the ingress for SSL termination:

kubectl create secret tls demo.example.com --cert=fullchain.pem --key=privkey.pem

Edit the annotationlab-updater.sh in the same directory and add the following lines in the end of the script (helm command extra parameters):

--set ingress.enabled=true \
--set ingress.defaultBackend=false \
--set ingress.hosts[0].host='demo.example.com' \
--set ingress.hosts[0].path='/' \
--set ingress.tls[0].hosts[0]='demo.example.com' \
--set ingress.tls[0].secretName=demo.example.com

Note: If a self-signed certificate or any other type of internal certificates (not signed by any public CA) are used, an extra parameter is required for annotationlab-updater.sh:

--set ingress.sslVerify=false

After editing the script, run it to enable SSL:

bash -x annotationlab-updater.sh

Azure Marketplace

Visit the product page on Azure Marketplace and follow these steps. Generative AI Lab offers a one-click deployment within your security perimeter using Azure Kubernetes Service (AKS), a fully managed Kubernetes solution that simplifies the deployment, management, and scaling of containerized applications.

1. Click on the “Get It Now” link.

   

2. Select your subscription and the region where you want to deploy the cluster, then click “Next.”

   

3. Choose the appropriate VM size and enable auto-scaling if you want nodes to be added automatically when needed. Then click “Next.”

   

4. Provide the password (this will be used to access the Generative AI Lab UI with the admin user), then click “Next.”

   

5. Review the configuration and then click “Create.”

   

6. Visit the login page at http://External_IP for a guided experience. For your initial login, use the following credentials: Username: admin, Password: the password set in step 4.

Note: You can find the External_IP under Kubernetes resources by navigating to Services and ingresses and locating the addon-http-application-routing-nginx-ingress service name.

Migration from NLP Lab to Generative AI Lab

At the end of 2024, NLP Lab will officially retire, and no longer be available. We advise anyone wishing to continue using this tool to migrate to Generative AI Lab.

For on-premise deployments, please contact us for the newest artifacts.​

For all Cloud deployments, please purchase and Install Generative AI Lab on a new server before migration, and then follow the steps below:​

Steps to Backup Data from NLP Lab

1. Login to your current NLP Lab deployment as the admin user.
2. Go to the System Settings page.
3. Navigate to the Backup tab.
4. Enter the required backup details.
5. Schedule an immediate backup using the Backup now feature.
6. Monitor the backup pod status to ensure the process completes successfully.

kubectl get pods

Verify Backup: Upon completion, your backed-up database and files will be visible in cloud storage.

Steps to Restore Data

1. Deploy a fresh instance of Generative AI Lab version 6.8.0 or higher from the marketplace.
2. Login to the UI as the admin user.
3. Go to the System Settings page.
4. Click on the Restore tab and fill in the necessary details.
5. Click on Restore Now to initiate the process.
6. Monitor the restore pod status to ensure successful completion.

kubectl get pods

Verify Restoration: Access the UI, all projects, models, data and files should now be successfully restored.

Dedicated Server

For installing Generative AI Lab on a dedicated server please contact us at support@johnsnowlabs.com.

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