Sold by: RELEVANCE LABÂ
Deployed on AWS
This product has no charges associated with it beyond the standard AWS EC2 instance fees. It offers a fully configured machine image with RStudio, JupyterLab, Docker, Visual Studio, and more, all running on Windows Server 2022. Tailored for data scientists, researchers, and analysts, it delivers a comprehensive cloud-based environment for R development and analytics on Amazon EC2
Overview
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DCV Login Page
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Desktop Page
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RStudio Icon
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RStudio Homepage
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Jupyter Homepage
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Visual Studio 2022
Overview
This is a repackaged software product wherein no additional charges apply beyond standard AWS EC2 instance usage.
It is a preconfigured Windows Server 2022 AMI designed for data scientists, researchers, and developers. The image includes essential software and GPU-optimized libraries for machine learning, analytics, and visualization workloads.
Key Features
- Remote Desktop Access via Amazon DCV for seamless GUI-based operations.
- Preinstalled Tools: Google Chrome, 7-Zip, Git, and AWS CLI for productivity.
- GPU Ready: NVIDIA drivers, CUDA Toolkit, and cuDNN for accelerated compute.
- Development Environments: Visual Studio 2022, Visual Studio Code, PyCharm CE, RStudio, and JupyterLab.
- Data Science Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, and Vowpal Wabbit.
- Productivity Tools: LibreOffice for document and spreadsheet editing.
- Environment Management: Docker, Docker Compose, and Anaconda preinstalled.
- AWS Integration: Compatible with AWS services such as SageMaker, Bedrock, and OpenSearch for scalable workflows.
Technical Details Operating System: Windows Server 2022 Remote Access: Amazon NICE DCV Browsers and Utilities: Google Chrome, Git, AWS CLI, 7-Zip Programming Languages: Python 3.x, R IDEs: Visual Studio 2022, Visual Studio Code, PyCharm Community Edition, RStudio Notebook Interfaces: Jupyter Notebook, JupyterLab Frameworks: PyTorch, TensorFlow, scikit-learn, PySpark, Dask, and Vowpal Wabbit Environment Management: Anaconda, Docker, Docker Compose Office Tools: LibreOffice (Writer, Calc, Impress)
Support and Documentation Relevance Labs provides setup documentation and usage guidance for this preconfigured Windows Data Science workspace.
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
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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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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
This product is available free of charge. Free 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.
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
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://: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.
Additional details
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.
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