SAP AI Core
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
SAP AI Core uses a usage-based pricing model where costs are incurred based on the resources consumed. There are two main service plans: Standard (for predictive AI without generative AI) and Extended (for production workloads with generative AI hub access). For custom AI models (Predictive AI), costs are based on compute (node hours), storage (gigabyte hours), and a baseline charge (tenant hours). For generative AI with foundation models, pricing is based on the number of tokens used, converted into capacity units. SAP provides a cost calculator for estimates.
Price last checked Oct 5, 2026 (automated estimate)
⚠️ Pricing is subject to change. Always verify current pricing on the tool's official website before purchasing.
Free Tier
A 30-day free trial is available for the generative AI hub.
Integrations
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.
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