Introduction
In today’s data-driven research landscape, researchers, data scientists, and analysts require powerful, secure, and ready-to-use pre-configured cloud environments that can support advanced computing needs without the burden of complex infrastructure setup.
Our AWS AMIs provide specialized research environments tailored for scientific computing, machine learning workflows, and cloud-based software development.
Whether you prefer working on Linux or Windows, these AWS Marketplace AMIs offer a seamless experience with pre-installed tools like RStudio, JupyterLab, TensorFlow, and PyTorch.
From GPU-accelerated environments to secure desktops for remote analytics, each AMI is designed to boost productivity, simplify workflows, and reduce turnaround time to process raw data into actionable insights.
So, without further ado, let’s check what these AMIs have to offer.
RStudio with EC2 Linux
Traditionally, setting up a secure data science environment on AWS is a labor-intensive process. It involves expertise in AWS configurations. Our RStudio with EC2 Linux eliminates this friction, offering a seamless research experience so researchers can maximize output while minimizing effort.
It also offers a secure, scalable, and cost-effective environment, specifically designed to cater to the requirements of the research community. With pre-installed packages used in scientific research computing, RStudio with EC2 Linux ensures you can focus on accelerating research, not navigating complicated setups.
Learn more about RStudio with EC2 Linux here.
Windows Data Science Workspace
Windows Data Science Workspace provides a powerful, ready-to-use GPU-optimized analytics workspace environment for building, analyzing, and deploying data-driven solutions.
Whether you're training deep learning models on AWS, conducting complex statistical analyses, or developing high-performance applications, the Windows Data Science Workspace offers an all-in-one, GPU-optimized solution that streamlines your workflow.
With pre-installed tools like RStudio Server, JupyterLab, Visual Studio 2022, PyCharm, TensorFlow, PyTorch, and Docker, it eliminates the hassle of manual setup and configuration.
Learn more about Windows Data Science Workspace here.
Data Science Workspace
The Data Science Workspace is a ready-to-use Amazon Machine Image (AMI) offering a cloud-based, pre-configured environment with tools like RStudio Server, JupyterLab, and Anaconda for seamless statistical computing, machine learning, and software development. Pre-installed machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn support end-to-end workflows, and features like Docker and Visual Studio Code enhance containerized and lightweight development.
Optimized for a variety of EC2 instance types, including GPU-backed options for high-performance tasks, this workspace ensures scalability and efficiency. Built on Amazon Linux 2023, it delivers a secure, flexible setup tailored to professional data science and analytics requirements. Data Science Workspace is ideal for managing complex workloads and combines advanced tools with intuitive access to streamlined productivity.
Learn more about Data Science Workspace here.
Amazon DCV Secure Desktop on Rocky 8
Amazon DCV Secure Desktop on Rocky 8 is designed for statistical computing, machine learning, and data analysis.
This AMI is ideal for researchers seeking a secure, scalable, and cloud-ready environment without the complexity of the manual setup. It comes pre-configured with RStudio Server, JupyterLab, Visual Studio Code, PyCharm, and Anaconda, enabling seamless development and analytics workflows.
It supports major machine learning frameworks like TensorFlow, PyTorch, and scikit-learn, as well as big data tools like PySpark, making it perfect for use cases ranging from academic research and bioinformatics to enterprise-scale AI projects.
Learn more about Amazon DCV Secure Desktop on Rocky 8 here.
Conclusion
Our pre-built AWS AMIs empower researchers and analysts to focus on what truly matters—innovating and deriving value from data. They provide fast, powerful, and scalable cloud environments that are ready to use in just a few clicks.
Whether you're conducting cutting-edge research, deploying data science models, or developing AI applications, these purpose-built AMIs deliver flexibility, security, and speed to match the dynamic needs of modern analytics and research teams.