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SAS Viya Workbench

New analytical developer canvas! Conduct exploratory data analysis to develop AI/ML models using SAS or Python. Quickly and easily innovate, experiment, iterate, and create powerful models. Learn More: Built for developers , SAS Viya Workbench is designed to create powerful advanced analytics using a variety of statistical and machine learning techniques. Use SAS or Python code in Visual Studio Code and Jupyter Notebook/JupyterLab to develop analytical and machine learning models quickly and easily with SAS or Python. Self-provisioning with minimal IT support needed. Choose compute power CPU/GPU to match your analytical workload. Access proven and powerful SAS analytical procedures and Python APIs. SAS Viya Workbench provides development and data science teams the ability to bring their own code (SAS or Python) using Visual Studio Code and Jupyter Notebook interfaces into a self-service data and compute environment - optimizing team productivity.

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About

SAS Viya Workbench is a developer canvas for experimentation and exploration. Viya Workbench allows developers and modelers to work in the language of their choice, initially SAS and Python, with R available by the end of 2024. Using an intuitive and flexible interface, Viya Workbench offers two development environment options - Jupyter Notebook/JupyterLab and Visual Studio Code.

Tap into powerful SAS analytical procedures (PROCs) and native Python APIs within Viya Workbench. Accelerate development of high-performance AI models. Additionally, access state-of-the-art, custom Python libraries - unique to Viya Workbench - that can significantly improve speed and performance with minimal changes to a developer's existing Python program.

Viya Workbench is a flexible, scalable and efficient development environment that is on-demand, self-provisioning and self-terminating with minimal IT support. The dedicated analytical environment features customizable CPU/GPU compute power to match the needs of the project. Models and other results can be leveraged in various production environments, including SAS Viya, for data management, governance and operational deployment.

Increase developer productivity with faster AI innovation. Work with modern, open source packages and cutting-edge cloud compute. Deliver fast results and manage costs. Leverage prebuilt, scalable infrastructures that allow you to focus on creating, innovating, iterating and testing your work. Improve results, compute speed, and ultimately time to value.

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