When embarking on a digital transformation journey, it is easy to look at the robust capabilities of SAP Build and wonder: “If I can develop applications, automate processes, and integrate business logic here, why do I need SAP AI Core?”
It is a fair question. SAP Build is an incredible low-code/no-code platform that empowers teams to create applications rapidly. However, when it comes to scaling, securing, and orchestrating complex artificial intelligence, SAP AI Core is the essential engine running under the hood.
Here is a look at why SAP AI Core is indispensable, even when you can handle your primary development within SAP Build.
Understanding the Roles: The Engine vs. The Body
To understand why both are necessary, it helps to use an automotive analogy:
- SAP Build is the car’s body, dashboard, and controls. It is what the user interacts with. It defines how the application behaves, how data flows, and how the user experiences the solution.
- SAP AI Core is the high-performance engine. It handles the heavy lifting, complex computations, model management, and secure processing of AI workloads.
While you can build the interface and logic in SAP Build, you need SAP AI Core to power the advanced AI capabilities safely and efficiently.
3 Reasons Why SAP Build Needs SAP AI Core
1. Enterprise-Grade Trust and the Generative AI Hub
While you can connect SAP Build to external APIs, doing so directly with public AI models poses significant data privacy and security risks.
- SAP AI Core hosts the Generative AI Hub, which acts as a secure gateway to leading large language models (LLMs).
- It ensures your enterprise data remains strictly confidential, preventing sensitive business information from being used to train public models.
- By routing your AI requests through SAP AI Core, you get built-in safety guards, data masking, and compliance out of the box—security features that SAP Build can consume but cannot generate on its own.
2. Heavy-Duty Model Lifecycle Management
If your development requires custom machine learning models, SAP Build is not designed to train or deploy them.
- SAP AI Core is built to handle GPU-intensive workloads, execute training pipelines, and serve custom models at scale.
- It manages the entire AI lifecycle, allowing you to monitor model performance, retrain models as business data changes, and manage version control seamlessly.
3. Cost Optimization and Resource Scheduling
Running AI models—especially deep learning or large language models—can be incredibly resource-intensive.
- SAP AI Core optimizes infrastructure costs by scheduling resources dynamically. It spins up compute power when a model needs to run and scales it down when idle.
- Attempting to manage these compute resources directly within an application layer like SAP Build would lead to inefficiencies and unpredictable costs.
The Perfect Synergy: Better Together
The goal is not to choose between SAP AI Core and SAP Build, but to leverage them together:
- Deploy with AI Core: Your data scientists and developers use SAP AI Core to securely deploy, manage, and access powerful AI models and LLMs.
- Deliver with Build: Your application developers use SAP Build to quickly create the user interface, trigger the AI workflows, and present the insights to business users.
By combining the rapid development speed of SAP Build with the robust, secure AI infrastructure of SAP AI Core, you get the best of both worlds: maximum agility without compromising on security, scalability, or control.
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