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Windows Data Science Workstation by Relevance Labs

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

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

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.

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