Skip to main content
SAP AI Core logo

SAP AI Core

analytics
Predictive AI
enterprise
advanced setup
Last verified Jun 30, 2026

Best For

Enterprise data science teams and developers looking to build, deploy, and manage custom AI models at scale within the SAP ecosystem.

Not Ideal For

Individuals or small businesses without significant AI development needs or technical expertise in machine learning.

Pros & Cons

  • Unified platform for end-to-end AI model lifecycle management.
  • Open and extensible, supporting various AI frameworks and tools.
  • Seamless integration with SAP Business Technology Platform and SAP applications.
  • Enterprise-grade security, scalability, and governance for AI workloads.
  • Requires significant technical expertise in AI/ML and cloud platforms.
  • Primarily designed for enterprise use cases, potentially complex for smaller projects.
  • Cost can be high for large-scale deployments and extensive usage.

Key Features

AI model training and deployment services.

Comprehensive AI lifecycle management.

Integration with SAP BTP and business applications.

Support for open-source AI frameworks (e.g., TensorFlow, PyTorch).

Scalable infrastructure for demanding AI workloads.

Pricing Breakdown

Enterprise-grade pricing, typically consumption-based. Contact SAP sales for detailed quotes and custom plans. A free tier for developers is available via SAP BTP.

⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.

Free Tier

Limited resources for development and testing purposes, available through the SAP BTP free tier.

Integrations

SAP Business Technology Platform (BTP)
SAP S/4HANA
TensorFlow
PyTorch
scikit-learn
Kubernetes

Who Should Use This

Enterprise data science teams and developers looking to build, deploy, and manage custom AI models at scale within the SAP ecosystem.

0/5