Sold by: RELEVANCE LAB
Deployed on AWS
This product is a ready-to-use machine image featuring RStudio, JupyterLab, Docker, Visual Studio, and more, running on Windows Server 2022. Designed for data scientists, researchers, and analysts, it provides a complete environment for R-based development and analytics on the cloud with Amazon EC2
Overview
Image
DCV Login Page
Image
Desktop Page
Image
RStudio Icon
Image
RStudio Homepage
Image
Jupyter Homepage
Image
Visual Studio 2022
Overview
This Windows Server 2022 image comes fully pre-installed with essential tools for data science, machine learning, and software development. It is optimized for GPU acceleration, remote desktop access, and a seamless out-of-the-box experience.
Key Features
- Remote Desktop Access: High-performance GUI access via Amazon DCV.
- Web & Utility Tools: Google Chrome, 7-Zip, Git, and AWS CLI included.
- GPU-Ready: Pre-installed NVIDIA drivers, CUDA Toolkit, and cuDNN for accelerated ML and compute workloads.
- Development Environments: Visual Studio 2022, VS Code, PyCharm CE, and RStudio Server.
- Notebooks & Data Science: Jupyter Notebook/Lab with Python and R kernels for interactive workflows.
- ML & Big Data Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, and Vowpal Wabbit.
- Productivity Suite: LibreOffice for document editing and spreadsheet work.
- Container & Package Management: Docker, Docker Compose, and Anaconda for environment and dependency control.
Technical Details
-
Operating System: Windows Server 2022
-
Remote Access: Amazon NICE DCV
-
Browsers & Utilities: a. Google Chrome b. Git c. AWS CLI d. 7-Zip
-
Programming Languages: a. Python 3.x b. R
-
IDEs & Authoring Tools: a. Visual Studio Code b. Visual Studio 2022 (Community Edition) c. PyCharm Community Edition d. RStudio Desktop
-
Notebook Interfaces: a. Jupyter Notebook b. JupyterLab
-
Machine Learning & Data Frameworks: a. PyTorch b. TensorFlow c. scikit-learn d. PySpark e. Dask f. Vowpal Wabbit
-
Environment & Containerization: a. Anaconda b. Docker c. Docker Compose
-
Office Tools: LibreOffice (Writer, Calc, Impress)
This Windows Server 2022 image is designed for professionals in data science, AI/ML, and software development who need a fully configured, GPU-enabled, and secure environment for immediate productivity.
Highlights
- GPU-Optimized Environment: Pre-installed NVIDIA drivers, CUDA Toolkit, and cuDNN enable high-performance deep learning and compute workloads.
- All-in-One Development Stack: Includes VS Code, Visual Studio 2022, PyCharm, RStudio Server, JupyterLab, and essential languages (Python, R) for full-stack development and data science.
- Ready for Data Science & ML: Out-of-the-box support for popular frameworks like PyTorch, TensorFlow, scikit-learn, PySpark, Dask, and Vowpal Wabbit, plus Anaconda for easy environment management.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win 2022
Deployed on AWS
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.2xlarge Recommended | $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) .
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
Quick Usage Summary
Subscribe to the AWS Marketplace product and launch an instance.
- 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, vowpalwabbit
- 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 write a review for this product.