SAS is expanding the capabilities of the SAS Viya flagship data and AI platform, also making SAS Viya Workbench generally available.
Targeted to developers and modelers, Viya Workbench is a self-service, on-demand compute environment for conducting data preparation, exploratory data analysis, and developing analytical and machine learning models.
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.
Tapping into powerful SAS analytical procedures (PROCs) and native Python APIs within Viya Workbench accelerates development of high-performance AI models.
Additionally, state-of-the-art, custom Python libraries—unique to Viya Workbench—can significantly improve speed and performance with minimal changes to a developer’s existing Python program, according to the company.
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 SAS Viya for data management, governance, and operational deployment.
Viya Workbench will initially be available through the Amazon AWS Marketplace in Q2, with future plans for additional supported cloud providers and a software-as-a-service deployment option, according to the company.
“The many challenges developers face aren’t just minor annoyances—they are obstacles that prevent questions from being answered and work from getting done,” said Jared Peterson, senior vice president of engineering, SAS. “Viya Workbench provides maximum flexibility and results by allowing developers to use their language and IDE [integrated development environment] of choice, tailor compute power up or down to meet the needs of the project, and ultimately boost their productivity and efficiency. They can work faster, be more creative, and take more risks—which, let’s be honest, is not only what’s expected but it makes the job more fun.”
For more information about this news, visit www.sas.com.