SAP AI Core
Confidently deploy and integrate AI models designed for SAP applications, cost-efficiently at scale while preserving privacy and compliance.
Let’s delve deeper into the heart of SAP's comprehensive architecture components underpinning business AI – the generative AI hub. Get technical insights on how it brings together trusted LLM access, business grounding for LLMs, and LLM exploration.
In this tutorial video you will learn how to use the generative AI hub on SAP AI Core using the SAP AI Launchpad, use cases leveraging LLMs, learn about different prompting techniques such as few-shot and zero-shot prompting, and tips to improve your prompts!
Our team is constantly delivering new innovations and enhancements in SAP AI Core.
Check out our latest product updates and upcoming roadmap deliveries.
The generative AI hub provides tooling for prompt engineering, experimentation, and other capabilities to accelerate the development of your SAP BTP applications infused with generative AI, in a secure and trusted way. AI development teams can submit a prompt to multiple LLMs, compare the generated outcomes to identify the best-suited model for the task, and gain greater control and transparency with the built-in prompt history.
At SAP, we view AI not as a standalone technology, but as an integrated part of our business applications that infuses intelligence natively into business processes.
Dive deeper into various aspects of SAP’s approach to generative AI and its technical underpinnings with this blog post, the first of a series with Dr. Philipp Herzig, Senior Vice President, Head of Cross Product Engineering & Experience at SAP.
First Steps
SAP AI Core is an SAP BTP service to confidently deploy and manage artificial intelligence models that natively integrate with SAP applications. It's the foundational layer of AI in SAP BTP.
To get your first hands-on experience with SAP AI Core, complete our first tutorial for beginners.
Key Features
Execute pipelines
Execute pipelines as a batch job, for example, to preprocess or train your models, or perform batch inference.
Serve inference requests
Deploy а trained machine learning model as a Web service to serve inference requests of trained models with high performance.
Benefit from multitenancy support
Use this service in tenant-aware applications. Implement multi-tenant services to segregate your AI assets and executions to isolate your tenants within SAP AI Core.
Integrate your cloud infrastructure
Register your Docker registry, synchronize your AI content from your git repository, and register your object store for training data and trained models. Productize your AI content and expose it as a service to consumers in the SAP BTP marketplace.
Become an Expert
Once you have mastered the basics of SAP AI Core and deployed your first machine learning model, there is more advanced content in store for you!
Free Learning Journey
Embed AI into SAP solutions, configure SAP AI Core and SAP AI Launchpad, train an AI model and serve an AI model.
Start now
Developer Tutorials
To dive deeper into SAP AI Core's features, check out the following tutorials:
Use pre-trained Tensorflow models with a GPU
Make predictions for house prices
Libraries and SDKs
To increase developer efficiency, SAP AI Core offers multiple libraries and SDKs. Find them all here.
You can learn how to:
- Leverage the popular Metaflow library to create ML pipelines
- How to train your model in SAP AI Core using the Metaflow-Argo plugin
- How to create an object detection project using the SAP Computer Vision Package and SAP AI Core
Generative AI Hub in SAP AI Core
The generative AI hub gives you instant access to a broad range of large language models (LLMs) from different providers, such as GPT-4 by Azure OpenAI or OpenSource Falcon-40b. With this access, you’ll be able to orchestrate multiple models, whether programmatically via SAP AI Core or via the playground within SAP AI Launchpad.
The generative AI hub provides tooling for prompt engineering, experimentation, and other capabilities to accelerate the development of BTP applications infused with generative AI, in a secure and trusted way. AI development teams can submit a prompt to multiple LLMs, compare the generated outcomes to identify the best-suited model for the task, and gain greater control and transparency with the built-in prompt history.
Read the documentation
Start the tutorial
Get started with the reference architecture for generative AI in SAP BTP
Use Cases
Explore real-world scenarios:
- The Generative AI Mail Insights for customer support
- The Events-to-Business Framework for intelligent action synthesis
- Partner innovations from Hack2Build
Develop Smart Business Applications with the SAP AI Core Toolkit for Visual Studio Code
Streamline your AI development process by connecting your SAP AI Core instance directly with VS Code, eliminating the need for multiple tools, and leverage your existing Docker, Git, and object storage setups for training data and trained models, speeding up your work.
Use Case: Reduce Your CO2 Footprint with a Smart Generative AI Application on SAP BTP
Help users understand how their consumption habits are driving their CO2 footprint by showing the most impactful expenses and best opportunities for emissions reductions.
Learn how to build an SAP CAP application that interacts with Azure AI through SAP AI Core and a React Native mobile app implementing a 'Smart CO2 Converter App'.
Use Case: AI-Powered Pipeline Corrosion Analysis
Follow a fictional oil company namedS.A. Oil GmbHon their journey to embrace AI-powered pipeline corrosion analysis using a combination of SAP BTP products such as SAP AI Core. Let’s have a close look into the functional aspects of the solution involving five key personas, from the reliability engineer to the data scientist.
Use Case: Build AI and Sustainability Solutions with SAP BTP
Go through an end-to-end scenario where you as an SAP partner help a manufacturer transform into a sustainable intelligent factory. Learn how to automate product defect detection with computer vision in the quality inspection process, implement sound-based predictive maintenance for equipment with deep learning, and get 360 insights into production, maintenance cost, and sustainability.
Join the free online course on openSAPUse Case: Enable a Circular Economy Business Models for Plastic Packaging
In this blog post series, implement circular economy business models for plastic packaging using SAP BTP, including SAP AI Core and SAP Returnable Packaging Management.
Get a better understanding of the challenges of plastic waste, and how to craft solutions on top of SAP BTP to help customers in this industry.
Join the AI/ML Group on SAP Community and Interact with AI Enthusiasts
It has never been a more exciting time for AI! Generative AI and large language models (LLMs) are dominating headlines and making AI a part of every business conversation.
Be part of our new public group for AI enthusiasts and dive into a vibrant community of SAP experts dedicated to exploring the limitless possibilities of AI. Connect with like-minded individuals from diverse backgrounds, share your knowledge, and stay updated on the latest AI use cases, trends and breakthroughs, such as LLMs, prompt engineering, knowledge graphs, responsible AI and more.
Whether you're a seasoned AI professional or just beginning your AI journey, our group offers a welcoming space to collaborate, learn, and shape the future of AI at SAP together.