Sold by: RELEVANCE LABÂ
Deployed on AWS
This product is a ready-to-use Amazon Machine Image (AMI) that comes with RStudio, JupyterLab, Docker, and Visual Studio, running on a CIS Level 2 hardened Windows Server 2022. Designed for data scientists, researchers, and analysts who require a highly secure environment, this AMI offers a GPU-optimized setup for R- and Python-based development and analytics in AWS. The workspace is also fully compatible with AWS Research and Engineering Studio (RES), ensuring smooth integration and deployment within your cloud
Overview
"Overview This Windows Server 2022 image is a CIS Level 2 hardened and GPU-optimized AMI, designed for mission-critical and highly-regulated environments. It comes with a robust set of pre-installed tools for data science, machine learning, and software development. The configuration prioritizes a """"defense-in-depth"""" approach, providing a highly secure remote desktop and compute environment for professionals working with sensitive data.
Key Features Advanced Security & Compliance: Hardened to meet CIS Level 2 Benchmarks, this AMI provides an elevated security posture to protect against sophisticated threats. This includes more restrictive settings that reduce the attack surface. Secure Remote Access: Features high-performance GUI via NICE DCV, with access policies configured to align with Level 2 security requirements. Essential Utilities (Hardened): Includes Chrome, Git, 7-Zip, and AWS CLI, with configurations modified to enhance security and reduce potential vulnerabilities. GPU-Ready: Pre-installed with CUDA Toolkit, NVIDIA drivers, and cuDNN, configured to operate within a hardened environment. Development Environments: VS Code, Visual Studio 2022, PyCharm CE, and RStudio, secured with Level 2 best practices. Data Science Tools: Jupyter Notebook/Lab with Python & R kernels, with a security-first configuration. ML & Big Data: Includes PyTorch, TensorFlow, scikit-learn, PySpark, Dask, and Vowpal Wabbit, all integrated into a secure platform. Productivity Suite: LibreOffice is included, with security settings applied to mitigate common risks. Container & Env Mgmt: Docker, Docker Compose, and Anaconda are configured for enhanced security, following container hardening principles.
Technical Details Operating System: Windows Server 2022 (CIS Level 2 Hardened) Remote Access: Amazon NICE DCV, configured for strict authentication and access control. Languages: Python 3.x, R IDEs: VS Code, Visual Studio 2022 CE, PyCharm CE, RStudio Notebook UIs: Jupyter Notebook, JupyterLab Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, Vowpal Wabbit Environment Tools: Docker, Docker Compose, Anaconda Office Tools: LibreOffice (Writer, Calc, Impress)
Ideal for: Organizations and professionals in high-risk sectors (e.g., finance, healthcare, government) who require a secure, auditable, and GPU-enabled environment for working with highly sensitive data."
Highlights
- CIS Level 2 Compliant: Validated via Amazon Inspector for hardened OS posture
- GPU-Optimized: CUDA Toolkit, cuDNN, and NVIDIA drivers pre-installed
- Complete Data Science Stack: JupyterLab, RStudio, VS Code, PyCharm, Python, R ML Ready: PyTorch, TensorFlow, PySpark, Dask, and more Pre-configured & Secure: Includes Docker, Anaconda, LibreOffice for seamless development
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win 2022
Deployed on AWS
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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.
Dimension | Cost/hour |
|---|---|
g4dn.xlarge Recommended | $0.00 |
g4dn.2xlarge | $0.00 |
Vendor refund policy
NA
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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
NA
Additional details
Usage instructions
Getting Started Launch the AMI: Subscribe to this product on AWS Marketplace and launch a new EC2 instance. Ensure the EBS volume size is set to 100 GB or more.
Connect Securely: Open a web browser and navigate to: https://<your-public-dns-or-IP>:8443 Log in using your Windows Administrator credentials to access the desktop via NICE DCV. Note: Confirm that TCP port 8443 is open in both your EC2 Security Group and the Windows Firewall.
Tool Usage RStudio Server: From the Start Menu, click the RStudio icon. Log in with your Windows credentials to begin statistical analysis and data visualization.
IDEs (VS Code, Visual Studio, PyCharm): Access Visual Studio Code, Visual Studio 2022, or PyCharm from the Start Menu. Begin new projects or open existing ones for Python, R, .NET, and full-stack development.
Anaconda: Use Anaconda Navigator (from the Start Menu) for a GUI-based environment and package manager. Alternatively, use the Anaconda Prompt to access the CLI.
ML & Data Science Libraries: All frameworks, including PyTorch, TensorFlow, and scikit-learn, are pre-installed and ready for immediate use via Jupyter, Python, or your preferred IDE.
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Support
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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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