Sold by: Perimattic ManageStacks
Deployed on AWS
Production-ready Jupyter Notebook with full root access, pre-configured Python environments, and security hardening - ideal for data science teams needing a private, customizable notebook server on AWS.
Overview
This fully managed Jupyter Notebook solution delivers a production-ready, secure data science platform on AWS, built on Ubuntu 24.04 LTS. Every instance comes pre-configured with security best practices, optimized Python environments, and automated operations.
Why Choose This Over SageMaker Notebooks?
Unlike managed notebook services, this AMI gives you full root and OS-level access, allowing you to install custom packages, configure GPU drivers, set up virtual environments, and manage system-level dependencies without vendor restrictions or per-hour notebook instance pricing.
Key Features
Pre-configured Data Science Environment Jupyter Notebook comes ready with Python, pip, and essential libraries. Install TensorFlow, PyTorch, scikit-learn, or pandas as needed with full root access.
Security Hardened HTTPS-ready configuration, token-based authentication, UFW firewall pre-configured to allow only SSH (22) and web access (80/443) from trusted sources, and latest security patches applied.
Automated Setup On first login, an interactive setup script configures Jupyter Notebook with secure access, sets up authentication tokens, and configures firewall rules - all within minutes.
Monitoring and Integration Integrate with AWS CloudWatch for resource monitoring. Connect to S3 for data storage, RDS for database access, or Redshift for data warehousing directly from your notebooks.
Use Cases Data exploration, visualization, and statistical analysis Machine learning model development and prototyping Academic research and collaborative data science ETL pipeline development and testing Business intelligence reporting and ad-hoc analysis Teaching and training environments for Python and data science
Getting Started Launch the AMI from AWS Marketplace on your preferred instance type SSH into your instance and follow the interactive setup wizard Access Jupyter Notebook via your browser and start analyzing data
Book a free setup consultation at https://cal.com/gaurav-pareek-perimattic/marketplace-setup-consultations or email us at aws-support@perimattic.com .
Support Managed and supported by Perimattic, a cloud infrastructure company with 13+ years of experience serving global clients. We offer free setup assistance, custom integrations, infrastructure consulting, and 24/7 support.
Highlights
- Full Root Access Jupyter Notebook: Unlike SageMaker, get complete OS-level control to install custom packages, configure GPU drivers, and manage dependencies without vendor restrictions.
- Pre-configured Data Science Platform: Ready-to-use Jupyter on Ubuntu 24.04 LTS with Python and pip. Add TensorFlow, PyTorch, or any framework with full root access.
- 24/7 Expert Support by Perimattic: 13+ years of cloud infrastructure expertise with free setup assistance, environment configuration, and dedicated support at aws-support@perimattic.com.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.05 |
t3.micro | $0.05 |
c1.xlarge | $0.05 |
c3.2xlarge | $0.05 |
c3.4xlarge | $0.05 |
c3.8xlarge | $0.05 |
c3.large | $0.05 |
c3.xlarge | $0.05 |
c4.2xlarge | $0.05 |
c4.4xlarge | $0.05 |
Dimensions summary
You pay by the hour for a managed Jupyter Notebook data science platform. Pricing is tied directly to the AWS EC2 instance type you choose, so there are no tiers or user-based fees. Each dimension maps to a specific instance size and family, including general-purpose (m, t), compute-optimized (c), memory-optimized (r, x, u, z), storage-optimized (d, i, h), and accelerated computing (g, p, inf, trn, f, vt, dl). Your cost scales with the size and capability of the instance you run. Smaller instances cost less per hour; larger or GPU-backed instances cost more. You stop paying when the instance stops.
Top-of-mind questions for buyers
Each dimension maps to one running AWS EC2 instance of the named type and size. You pay for the time that one instance runs, measured in hours. Running two instances of the same type bills two hours for every clock hour they both run.
The hourly software charge meters running time only. A fully stopped instance does not accrue software charges. Stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from the per-hour software rate shown in the table.
Each instance is provisioned, patched, backed up, and monitored on dedicated infrastructure in your chosen cloud region. Upgrades are tested first, then scheduled. Automated daily backups run with set retention, and TLS certificates are applied. You can request a full data export at any time.
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For any questions or concerns, please contact: Perimattic.com Email: aws-support@perimattic.com
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Initial release of a fully automated Jupyter Notebook environment for AWS EC2.
- Includes official Jupyter Data Science Notebook with preinstalled Python libraries.
- Secure first-boot configuration with auto-generated strong password.
- Persistent notebook and data storage preconfigured using Docker volumes.
- Domain mapping wizard with DNS validation during first setup run.
- Automated SSL certificate provisioning with Certbot for secure HTTPS access.
- Integrated Apache reverse proxy for hardened access to Jupyter over the internet.
- One-command Docker Compose - start, stop, redeploy seamlessly.
- Automatic logging and configuration stored in /opt/app/.env for easy credential recovery.
- Guided onboarding with interactive setup scripts and failsafe rerun support.
Additional details
Usage instructions
- Launch an Instance
From AWS Marketplace, click Continue to Subscribe, then Continue to Configuration, and launch the AMI.
- Choose the Recommended Instance Type
Select t2.medium or higher for a smooth Jupyter Notebook experience.
Data science workloads benefit from more CPU/RAM - larger instance types will significantly improve notebook execution performance and library handling.
- Configure Security Group
Allow inbound traffic on the following ports:
- 22 (SSH) - For secure terminal access
- 80 (HTTP) - Required temporarily for SSL validation
- 443 (HTTPS) - Secure access to Jupyter Notebook in browser
- Connect to the Instance
Use SSH to connect:
ssh -i <your-key.pem> ubuntu@<public-ip>
- First-Boot Setup (Guided)
On first boot, an interactive guided setup will automatically start:
- Detects public IP
- Prompts for the domain name to map Jupyter Notebook
- Validates DNS A-record propagation
- Asks for admin email for SSL certificate issuance
- Generates a secure random Jupyter access password
- Stores credentials securely in /opt/app/.env
- Configures Apache reverse proxy for HTTPS
- Requests and installs a free Let's Encrypt SSL certificate
- Deploys Jupyter Notebook using Docker Compose
- Shows access URL and generated password after completion
- DNS Configuration Required
Before (or during) the setup script, add this DNS A-record: yourdomain.com <your-instance-public-IP> Setup continues only when global DNS resolvers confirm valid mapping.
- Automatic SSL Setup
After DNS validation completes:
- Enables HTTPS access to Jupyter Notebook
- Auto-installs valid TLS certificate from Let's Encrypt
- HTTP access is disabled for security
- Start / Restart Jupyter Manually (if needed)
cd /opt/app docker compose ps docker compose restart
- Access the Jupyter Notebook
Open your browser and visit:
https://<your-domain>
Login credentials (displayed after setup & stored in .env):
- Username: root
- Password: <generated-password>
- Retrieve Credentials Anytime
cat /opt/app/.env
Thank you for subscribing. Your instance is ready to go!
Need Support or Customization? Whether you're facing setup issues or need custom features, Perimattic's expert team is here to help:
Email us: aws-support@perimattic.com WhatsApp: +91-92142 66896 Learn more: <www.perimattic.com >
We offer: Free setup assistance Custom development & integrations Infrastructure consulting Automation & AI solutions With 13+ years of experience serving global clients, we ensure your deployment runs smoothly and scales with your needs.
Let's build something great together!
Resources
Support
Vendor support
Support by Perimattic
Perimattic provides 24/7 support for all AWS Marketplace products. Our team has 13+ years of cloud infrastructure expertise serving global clients.
Contact Channels: Email: aws-support@perimattic.com WhatsApp: +91-92142 66896 Website: <www.perimattic.com >
What We Help With: Initial setup and configuration assistance (free) Troubleshooting connectivity, performance, and backup issues Custom development and integrations Infrastructure consulting and architecture review Migration planning from other solutions Automation solutions and scaling guidance
Instance Sizing Guidance: t2.medium or t3.medium: Development environments, small applications m5.large: Production workloads with moderate traffic m5.xlarge: High-traffic production deployments and larger datasets
For workload-specific sizing recommendations, contact our team for a free consultation.
Refunds and Issues: If you experience any issues or need to request a refund, contact us at aws-support@perimattic.com and we will respond promptly.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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