Overview
SAS Viya Workbench [Private Offer Only] combines the benefits of the Private Offer feature along with Carahsoft's contract vehicles in providing customers a seamless acquisition process for their cloud-based products and solutions from AWS Marketplace.
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.
This listing is for Private Offers ONLY. Please reach out for more details. Thank you.
Highlights
- Developer Canvas: Novice and advanced developers and data scientists can innovate, experiment, iterate, and create in a lightweight, scalable, cloud native environment that enables developers to rapidly build highly performant analytical models.
- Open Source Flexibility: Code in SAS or Python using web-based industry standard code editors Visual Studio Code & Jupyter Notebook. Leverage existing projects or develop from scratch using the latest powerful SAS Procedures (PROCS) and Python APIs
- Efficient Compute Engine: Assign compute tiers to enable on demand, independent provisioning. Right-size cores, memory, and GPU compute power. Scale up or down to match analytical needs. On demand and self-terminating servers for optimal efficiency.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
---|---|---|
WorkbenchDataPlane | SAS Viya Workbench Data Plane | $0.001 |
WorkbenchUsers | SAS Viya Workbench Users | $0.001 |
Vendor refund policy
Refunds are not provided.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Move Your Business Forward, Faster! -Get SAS Viya Workbench up and running with minimal interruption. -Evolve your skills with online resources. -Quickly benefit from hot fixes and product updates. -Get well-informed answers from several different disciplines, including research and development, consulting services and more. -Product documentation -Online Support -Telephone Support -SAS Communities Support -Free and paid training opportunities
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.