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Red Hat OpenShift Data Science Standard Subscription 1 Year 2 Cores 4 vCPUs MCT4547

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Red Hat OpenShift Data Science Standard Subscription MCT4547 is a 1-year software subscription configured for 2 cores and 4 vCPUs. Built around the Red Hat OpenShift platform, it supports data science and machine learning workflows, including model development, training, testing, and deployment. It provides a cloud-native environment for data scientists and machine learning engineers working with compatible tools and Kubernetes-based infrastructure. Organizations can incorporate the platform into cloud and hybrid environments to support collaborative development and MLOps processes. The Standard subscription includes an 8x5 support service level, as stated in the supplied product information. This offering is suited to teams seeking a defined subscription term and compute entitlement for AI and machine learning projects.

OVERVIEW

  • Red Hat OpenShift Data Science Standard is a subscription-based platform for data science and machine learning workflows. Model MCT4547 provides a 1-year subscription with an entitlement of 2 cores and 4 vCPUs.
  • Designed for use with Red Hat OpenShift, the platform supports machine learning development activities such as experimentation, model training, and deployment. Tools such as Jupyter, TensorFlow, and PyTorch can support common data science workflows, subject to the selected environment and supported integrations.
  • For enterprises, research teams, and developers, this subscription can support the adoption of cloud-native MLOps practices while aligning software procurement with a defined subscription period and compute allocation.

USE CASES

  • AI and Machine Learning Development: Build and test machine learning models in a compatible OpenShift environment.
  • Data Science Workspaces: Support collaborative data science activities and experimentation.
  • MLOps Workflow Development: Organize model development, evaluation, and deployment processes.
  • Model Training and Evaluation: Run supported machine learning workflows within the available compute entitlement.
  • Enterprise AI Projects: Incorporate data science tooling into broader enterprise application and analytics initiatives.
  • Hybrid Cloud Projects: Support data science initiatives across compatible cloud and hybrid infrastructure.
  • Research and Development: Provide a subscription platform for teams experimenting with machine learning methods and applications.

KEY FEATURES

  • One-Year Subscription: Provides a defined 12-month subscription term to support software procurement and renewal planning.
  • 2-Core and 4-vCPU Entitlement: Offers a specified compute entitlement for planning compatible data science workloads.
  • OpenShift Platform Integration: Designed for use with Red Hat OpenShift-based environments.
  • Machine Learning Development: Supports workflows for developing and experimenting with machine learning models.
  • Model Training and Testing: Supports machine learning project activities across model development and evaluation workflows.
  • MLOps Workflow Support: Helps teams organize machine learning processes from development through deployment.
  • Data Science Tooling: Supports workflows involving tools such as Jupyter, TensorFlow, and PyTorch, subject to compatibility and configuration.
  • Cloud-Native Deployment: Aligns with Kubernetes-based infrastructure and cloud-native development practices.
  • Hybrid Environment Suitability: Can be incorporated into compatible cloud and hybrid infrastructure strategies.
  • Standard Support Level: The supplied specifications identify an 8x5 support service level.

TECHNICAL SPECIFICATIONS

  • Brand: Red Hat
  • Product Name: OpenShift Data Science
  • Subscription Edition: Standard
  • SKU / Model: MCT4547
  • Product Type: Software Subscription
  • Subscription Term: 1 Year
  • Compute Entitlement: 2 Cores / 4 vCPUs
  • Platform: Red Hat OpenShift
  • Software Category: Data Science and Machine Learning Platform
  • Primary Use Cases: AI/ML Development, MLOps, Model Training, Model Deployment
  • Deployment Environment: Cloud-Native, Hybrid Cloud, Kubernetes-Based
  • Support Level: Standard, 8x5
  • Delivery Method: Electronic Subscription Activation

WHY CHOOSE THIS PRODUCT?

  • Defined Compute Entitlement: The 2-core and 4-vCPU configuration helps buyers match subscription procurement to their planned workload requirements.
  • Support for AI and ML Projects: Provides a platform for data science and machine learning development activities.
  • Cloud-Native Approach: Aligns with organizations using OpenShift and Kubernetes-based infrastructure.
  • MLOps Workflow Enablement: Supports the integration of model development and deployment processes into an organized workflow.
  • Predictable Subscription Period: A one-year term helps IT procurement teams plan subscription renewals and software expenditure.
  • Standard Support Coverage: The listed 8x5 support level helps organizations assess the subscription against their operational support requirements.

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