Amazon Bedrock from AWS will be embedded into SAP's generative AI hub as the two companies expanded a long-running partnership. SAP will also use AWS Graviton3, Trainium and Inferentia chips for SAP HANA Cloud and SAP Business AI workloads.
Ahead of SAP Sapphire, Amazon Web Services said Amazon Bedrock will be integrated into SAP AI Core so joint customers can mix and match large language models (LLMs) with corporate data.
Enterprises frequently run SAP on top of AWS infrastructure. For its part, SAP is trying to make it easier for customers to migrate to S4/HANA and cloud applications via its RISE with SAP program.
The AWS and SAP expanded partnership has multiple pieces, but the integration of Amazon Bedrock into the SAP platform is the most noteworthy. The integration will give SAP customers more options for foundational models and enable them to swap as genAI improves.
Among the key parts of the integration:
- Models within Bedrock can be used for embedded use cases within RISE with SAP as well as SAP Business Technology Platform.
- Bedrock tools will be available in SAP's generative AI hub across the application portfolio.
- Use cases will cover finance, product lifecycle management and other areas.
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In addition, the companies said SAP will use AWS Graviton3 chips for its SAP HANA Cloud. SAP said Graviton3 on AWS EC2 instances have improved cost, performance and carbon footprint. AWS and SAP will also collaborate on the next generation of Graviton4 for SAP workloads.
"SAP plans to use AWS Graviton to support SAP solutions and applications such as SAP BTP, SAP Datasphere, SAP Analytics Cloud, and the SAP Cloud ALM solution," the companies said.
SAP added that it will use AWS Trainium and Inferentia chips for AI and machine learning workloads in future SAP Business AI offerings. SAP engineers have already built out proof of concept projects to train and tune LLMs.
And finally, Amazon Project Kuiper will join other business units running on SAP for supply chain and other applications.
More on genAI:
- Copilot, genAI agent implementations are about to get complicated
- Generative AI spending will move beyond the IT budget
- Enterprises Must Now Cultivate a Capable and Diverse AI Model Garden
- Secrets to a Successful AI Strategy
- Return on Transformation Investments (RTI)
- Financial services firms see genAI use cases leading to efficiency boom
- Foundation model debate: Choices, small vs. large, commoditization
