Red Hat OpenShift Data Science 2C Standard 3-Year Support
This Red Hat OpenShift Data Science Standard license provides 3 years of essential support, enabling your organization to deploy and manage advanced data science workloads.
- License Entitlement: Access to Red Hat OpenShift Data Science platform features for data analysis, model development, and AI/ML operations.
- Support Coverage: 3-year standard support ensures timely issue resolution and access to Red Hat technical expertise.
- Platform Access: Enables the use of containerized data science tools and workflows on your Red Hat OpenShift environment.
- Operational Continuity: Maintains access to critical software updates and security patches throughout the license term.
Product Overview
Product Overview
This offering is a Red Hat OpenShift Data Science platform license with a 3-year standard support subscription. It unlocks the capabilities of Red Hat's integrated data science platform, allowing businesses to build, train, and deploy machine learning models within a consistent, scalable, and secure environment.
Ideal for IT Managers and IT Professionals in SMB and mid-market companies, this license integrates into existing Red Hat OpenShift deployments. It provides the necessary software entitlements and support to empower data science teams to accelerate insights and drive business value from their data.
- Data Science Platform: Provides access to a curated set of data science tools and frameworks.
- Containerized Workloads: Enables deployment of data science applications in containers for portability and scalability.
- Model Lifecycle Management: Supports the end-to-end process of developing, training, and deploying machine learning models.
- Collaboration Tools: Facilitates teamwork among data scientists, engineers, and IT operations.
- Standard Support: Includes 3 years of technical support from Red Hat for issue resolution and guidance.
Empower your data science initiatives with Red Hat OpenShift Data Science, providing essential platform capabilities and support for your business needs.
What This Enables
Enable Advanced Machine Learning Model Development
Enable teams to build, train, and deploy machine learning models using a curated set of data science tools. Streamline the entire model lifecycle from experimentation to production deployment.
containerized environments, hybrid cloud deployments, on-premises infrastructure, data analytics platforms
Accelerate Data Science Workflow Efficiency
Streamline the data science workflow by providing a unified platform for data preparation, model training, and inference. Automate repetitive tasks and reduce the time to insight.
agile development teams, data engineering pipelines, MLOps integration, collaborative research environments
Ensure Scalable and Secure AI/ML Operations
Automate the deployment and management of AI/ML workloads on a scalable, containerized infrastructure. Maintain compliance and security standards across all data science projects.
production machine learning, enterprise AI initiatives, regulated data environments, IT-managed platforms
Key Features
Curated Data Science Tools
Access a selection of popular data science frameworks and tools pre-integrated for immediate use.
Containerized Deployment
Deploy data science applications consistently across different environments using containers.
Model Lifecycle Management
Manage the complete journey of machine learning models, from development to deployment and monitoring.
Collaboration Features
Facilitate teamwork and knowledge sharing among data scientists and engineers.
3-Year Standard Support
Receive technical assistance and software updates for three years, ensuring platform stability and access to new features.
Industry Applications
Finance & Insurance
Financial institutions require robust platforms for fraud detection, risk assessment, and algorithmic trading, all of which benefit from advanced data science capabilities and reliable support.
Healthcare & Life Sciences
This sector uses data science for drug discovery, personalized medicine, and patient outcome prediction, necessitating secure, compliant, and well-supported platforms.
Manufacturing & Industrial
Manufacturers leverage data science for predictive maintenance, quality control, and supply chain optimization, demanding scalable and continuously operational IT solutions.
Retail & Hospitality
Retailers and hospitality businesses use data science for customer analytics, demand forecasting, and personalized marketing, requiring agile and responsive IT platforms.
Frequently Asked Questions
What is Red Hat OpenShift Data Science?
Red Hat OpenShift Data Science is an integrated platform that provides data scientists with the tools and environment needed to build, train, and deploy machine learning models on Red Hat OpenShift.
What does the '2C Standard' in the product name refer to?
The '2C' likely refers to a specific configuration or capacity metric, such as 2 cores or 2 CPUs, relevant to the licensing model. 'Standard' indicates the level of support included.
What is covered by the 3-year standard support?
Standard support typically includes access to Red Hat's knowledge base, technical support for issue resolution, and software updates and patches for the licensed product over the 3-year term.
Deployment & Support
Deployment Complexity
Medium — IT-assisted
Fulfillment
Digital Delivery
License keys / portal provisioning
Support Model
Zent Networks Managed
Renewal, add-license, and lifecycle management included
Subscription Terms
Cancellation
Cancel anytime — no charge on next cycle
You may cancel this subscription at any time. Cancellation takes effect at the end of the current billing period. You will not be charged for the following billing cycle. Access remains active through the end of the paid term.
Returns
Subscription licenses are non-refundable
Digital software licenses and SaaS subscriptions cannot be returned once activated or provisioned. Contact a Zent Networks account manager if you have questions before purchasing.