SAP is expanding its partnership with NVIDIA to embed NVIDIA NIM microservices, including a new microservice designed to work with a broad range of LLMs—reflecting the company’s dedication to its enhanced AI strategy.
Local AI from SAP can ensure that AI prompts and customer data stay within SAP-controlled environments, helping to enhance security and ensure compliance with regional regulations. By focusing on local deployment and aligning with NIM microservices, SAP’s strategy prioritizes scalability without compromising compliance or security, the company said.
“NVIDIA NIM microservices deliver optimized inference performance, portability, and enterprise support for custom models, helping customers accelerate innovation at every stage of the AI development and deployment cycle,” said Kari Briski, vice president, generative AI software for enterprise, NVIDIA. “With NVIDIA NIM microservices on SAP Business AI, developers can supercharge AI adoption with local models running on local infrastructure.”
As part of its ongoing drive to enhance AI adoption, SAP has optimized its architecture to leverage some of the most advanced inference technologies available.
By collaborating with model innovators such as Aleph Alpha, Meta, and Mistral, alongside its own fine-tuned ABAP model, this collaboration aims to deliver a curated selection of trusted AI tools.
These models are designed to address multilingual, explainable, and retrieval-augmented generation tasks, working to ensure that enterprises have access to solutions tailored to their unique business challenges.
Enterprise leaders are under growing pressure to translate innovation into measurable outcomes. The expanded collaboration with NVIDIA aims to address these demands with a focus on:
- Enterprise-grade performance: Leveraging NVIDIA NIM and curated models, fine-tuned by SAP for enterprise-grade performance
- Operational flexibility: Supporting local deployment while seamlessly integrating with SAP’s technology ecosystem
- Strategic alignment: Addressing the shifting dynamics of AI sovereignty and industrial leadership
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