Introducing the Terno AI AMI: Deploy Enterprise-Grade Data Intelligence on Your Own AWS Infrastructure short this title

Today, we are excited to announce the launch of the TernoAI Ubuntu 24.04 AMI on the AWS Marketplace — a ready-to-use server image that lets organizations deploy Terno AI securely inside their own AWS environment, without sharing database credentials, VPN access, or internal data with any external service.

This AMI gives you the fastest and safest way to run Terno AI within minutes, while maintaining full ownership of your infrastructure, network, and data.

Why we created Terno AI AMI?

Many organizations want to use Terno AI to accelerate analytics, automate insights, and empower business teams — but face challenges like:

• Tight security and compliance requirements
• No permission to send database credentials outside the organization
• VPN setups, firewall rules, or lack of cloud-native workflows
• Long deployment cycles for internal tools
• IT teams overwhelmed with setup and maintenance

The TernoAI Ubuntu 24.04 AMI solves all of these problems.

With one click, you can deploy the full Terno AI environment — already configured, containerized, and isolated in your own AWS account.

• Your data never leaves your cloud.
• Your credentials never leave your environment.
• And Terno works just like it does on the cloud version — but privately inside your VPC.

How to Deploy Terno AI Using the AMI in your cloud?

1. Subscribe in the AWS Marketplace

• Go to the AWS Marketplace and search for TernoAI_ubuntu24.04_AMI.
• Click Continue to Subscribe.
• Click Launch your software.
• Choose your desired region and click Launch from EC2 Console

2. Launch the Instance

• Open the EC2 console, and continue with the launch process.
• Name your instance.
• Recommended Instance Type: t2.medium
• Key Pair: Create a new key pair, use an existing one, or proceed without a key pair (if you do not plan on SSH access).
• Security Group: Ensure your security group is configured in the next step to allow inbound traffic.
• Click Launch Instance.

3. Open Port 80 for Web Access

Once the instance is running, you need to ensure your Security Group allows web traffic to the Terno AI interface.

• Go to the instance details and view its associated security group.
• Add an inbound rule:

4. Access Terno AI in Browser

• Get the Public IP of your instance.
• Open:
  • http://<EC2-Public-IP-Address>:80
• You will land on the Terno AI login page.

• Default Login Credentials:
  • Email : admin@example.com
  • Password : Superadmin@123

5. Change Default Password

For security, change the default password using the AWS console/IDE:

• Connect to your EC2 instance from EC2 instances.
• Run the command:
  • docker exec -it terno-ai python manage.py changepassword admin
• Follow the prompts to enter and confirm your new secure password.
• Log in with your new credentials.

6. Final Setup: Configuring the LLM API Key

When you send your first prompt in Terno AI, you will be asked to set up the Terno API key.

• Send any message (e.g., “Hello”)
• Click the link ‘Get your Key’ and sign up or log in to the Terno AI management portal.
• Copy the API Key you receive.
• Go back to your Terno AI tab and click the ‘here’ link in the configuration prompt.
• Add a new LLM configuration, paste your API Key, and ensure the Enabled checkbox is ticked.
• Click Save.

You can now start asking prompts to Terno AI and leverage your private, enterprise-grade AI Data Scientist!