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SAS Viya Workbench

Developer tool

by SAS

Self-provisioned cloud coding environment for building analytic, machine-learning and AI models in SAS, Python or R from Jupyter, VS Code or SAS Enterprise Guide, with chosen CPU, memory and GPU sizes and sessions that shut themselves down.

Find alternatives to SAS Viya Workbench

What it does

• Model training

Features 1

• SAS Viya Workbench for LearnersProvides students and educators dedicated compute for programming and machine learning development

Sources

Pricing

Pricing page · 11 Oct 2026

SAS's AWS Marketplace listing: 1-month or 12-month contracts on two dimensions, Workbench Users ("one individual developer seat") and the Workbench Data Plane; "Both are billed under a contract commitment set up through a private offer." No public per-seat rate is shown.

Description

Company disclosure · 11 Oct 2026

"Build transformative analytic, machine learning and AI models ... in a coding environment made for developers and modelers"; "Configure server size to match your workload requirements, choosing your cores, memory and GPUs"; "self-terminating sessions"; "Choose your favorite coding language (SAS, Python or R) and IDE (VS Code, Jupyter Notebook or SAS Enterprise Guide)."

What it does

Company disclosure · 11 Oct 2026

"Optimize your development process, including data preparation, exploration, advanced analytics and AI/ML modeling."

Sold within

Official documentation · 11 Oct 2026

Listed on SAS's own buying page among "Featured standalone offerings", with a buy link to its AWS Marketplace listing.

Name

Company disclosure · 11 Oct 2026

"SAS Viya Workbench - Get on-demand computing power and self-service flexibility for fast SAS, Python or R coding."

URL

Company disclosure · 11 Oct 2026

Product page with "Buy now: Microsoft Marketplace, AWS Marketplace".

Deployment

Company disclosure · 11 Oct 2026

"Spin up a Viya Workbench session in the cloud in seconds."

Interfaces

Company disclosure · 11 Oct 2026

"a code-based interface using Jupyter Notebook/JupyterLab, Visual Studio Code or SAS Enterprise Guide"; "integrations with your favorite IDEs".

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