Sold by: RELEVANCE LABÂ
Deployed on AWS
This product is a ready-to-use Amazon Machine Image (AMI) that comes with RStudio, JupyterLab, Docker, Visual Studio, and more, running on CIS Level 1 compliant Windows Server 2022. Ideal for data scientists, researchers, and analysts, it offers a secure, 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 environment.
Overview
Overview
This Windows Server 2022 Amazon Machine Image (AMI) is CIS Level 1 compliant, RES-compatible, and GPU-optimized, designed for data science, machine learning, and software development. It delivers a secure, hardened, and ready-to-use workspace with remote desktop access for professionals who need a high-performance compute environment in AWS.
Key Features
Security & Compliance: Hardened to CIS Level 1 Benchmarks with Amazon Inspector. RES Compatibility: Seamlessly integrates with AWS Research and Engineering Studio. Remote Desktop Access: High-performance GUI powered by NICE DCV. Web & Utility Tools: Chrome, Git, 7-Zip, AWS CLI. GPU-Ready: NVIDIA drivers, CUDA Toolkit, and cuDNN pre-installed. Development Environments: VS Code, Visual Studio 2022, PyCharm CE, RStudio. Data Science Tools: Jupyter Notebook/Lab with Python & R kernels. ML & Big Data: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, Vowpal Wabbit. Productivity Suite: LibreOffice for documents, spreadsheets, and presentations. Container & Env Management: Docker, Docker Compose, Anaconda.
Technical Details Operating System: Windows Server 2022 (CIS Level 1 Compliant) Remote Access: Amazon NICE DCV Languages: Python 3.x, R IDEs: VS Code, Visual Studio 2022 CE, PyCharm CE, RStudio Notebooks: Jupyter Notebook, JupyterLab Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, Vowpal Wabbit Office Tools: LibreOffice (Writer, Calc, Impress)
Ideal For
AI/ML professionals, researchers, analysts, and developers seeking a secure, GPU-enabled, and cloud-ready Windows workspace with out-of-the-box tools for modern data workflows.
Highlights
- CIS Level 1 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
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win 2022
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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.
Dimension | Cost/hour |
|---|---|
g4dn.xlarge Recommended | $0.00 |
g4dn.2xlarge | $0.00 |
Vendor refund policy
NA
Legal
Vendor terms and conditions
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)Â .
Content disclaimer
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
NA
Additional details
Usage instructions
Usage instructions Quick Usage Summary Subscribe to the AWS Marketplace product and launch an instance. Please ensure you keep 100GB as the size of the EBS Volume.
Connect via NICE DCV Open a browser and navigate to: https://<your-public-dns-or-IP>:8443 Log in using yourWindows Administrator username and password. You will gain access to the Windows desktop directly through your browser. Note: Make sure TCP port 8443 is open in the EC2 security group and Windows firewall.
RStudio Server From theStart Menu, click on theRStudio icon to open the application. RStudio will launch, and you can log in using your Windows credentials. Use RStudio for statistical analysis and data visualization. Visual Studio Code / Visual Studio 2022 / PyCharm From theStart Menu, select the appropriate icon to launchVisual Studio Code,Visual Studio 2022, orPyCharm. Start new files or open existing projects. These tools are ideal for Python, R, .NET, and full-stack application development. Anaconda OpenAnaconda Navigator from the Start Menu to manage environments and packages. Alternatively, you can useAnaconda Prompt to access the CLI: bash conda list ML & Data Science Libraries You can access various libraries via Jupyter, Python, or your preferred IDE. Example: python import torch, tensorflow, sklearn, pyspark, dask Popular frameworks likePyTorch,TensorFlow, andscikit-learn are ready for use.
Resources
Vendor resources
Support
Vendor support
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.
Similar products
Microsoft Windows Server 2022 Base
By Amazon Web Services
Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for deploying applications using the Microsoft Web Platform. Amazon EC2 enables you to run compatible Windows-based solutions on AWS' high-performance, reliable, cost-effective, cloud computing platform.
Microsoft Windows Server 2019 Base
By Amazon Web Services
Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for deploying applications using the Microsoft Web Platform. Amazon EC2 enables you to run compatible Windows-based solutions on AWS' high-performance, reliable, cost-effective, cloud computing platform.
Microsoft Windows Server 2025 Base
By Amazon Web Services
Amazon EC2 now supports Microsoft Windows Server 2025 with License Included (LI) Amazon Machine Images (AMIs), providing customers with an easy and flexible way to launch the latest version of Windows Server.
Microsoft Windows Server 2022 Core
By Amazon Web Services
Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for deploying applications using the Microsoft Web Platform. Amazon EC2 enables you to run compatible Windows-based solutions on AWS' high-performance, reliable, cost-effective, cloud computing platform.
Microsoft Windows Server 2019 Core
By Amazon Web Services
Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for deploying applications using the Microsoft Web Platform. Amazon EC2 enables you to run compatible Windows-based solutions on AWS' high-performance, reliable, cost-effective, cloud computing platform.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.