Trusted Decisions With SAS Viya on Red Hat OpenShift
Bringing the latest DataOps, AI and ModelOps capabilities to the leading enterprise Kubernetes platform, built for your open, hybrid cloud strategy.
Why choose SAS on Red Hat OpenShift?
Organizations aren't leaping to the cloud; they’re building bridges. In terms of migrating analytics, a well-built bridge requires careful design and powerful technologies. SAS Viya on Red Hat OpenShift brings the best analytics, machine learning and AI apps to the leading multicloud platform, making the “build once, deploy anywhere” philosophy a reality.
Consistent management across any infrastructure
- Ensure consistency among existing, modernized and cloud-native applications by migrating all analytics workloads to a consistent, cloud-native platform.
- Break down silos between data science and IT operations with a common development platform that unites them, regardless of infrastructure choices.
Accelerated application & model deployment
- Expedite the analytics life cycle by blending DataOps, AI, ModelOps and DevOps. Automated workflows enable faster iteration, leaving more time for innovation.
- Stay ahead of the competition by keeping applications fresh. Automated updates mean you always have access to the latest features in SAS Viya, no matter where it's deployed.
Develop models & deploy them anywhere
- Enable business analysts, IT and full-stack developers to create analytics applications using their preferred interface or programming language on a unified platform.
- Scale model development and deployment workloads across the hybrid cloud, from on-site to the edge, and bring processing closer to the data.
Combining the flexibility and scalability of SAS’ No. 1 AI and advanced analytics platform with the portability of Red Hat OpenShift, the most secure implementation of Kubernetes on the market, moves digital transformation from drawing board to finishing the last mile. Jim Goodnight CEO SAS
In the Spotlight
We can help you get started with SAS on Red Hat OpenShift. Tell us a little about yourself and a SAS team member will get in touch to learn about your specific needs.