SAP is expanding its partnership with NVIDIA to combine advanced AI technology with deep business context.
According to SAP, “our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success.”
Through this collaboration with NVIDIA, SAP will accelerate the entire life cycle of enterprise AI—from model development to high-performance runtime execution—and power AI scenarios across its portfolio.
NVIDIA NeMo, which consists of open libraries such as NeMo Gym and NeMo RL, helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster, the companies said.
Models will be hosted through SAP AI Core and generative AI hub, where customers and partners can leverage those best suited to their use cases.
Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted SAP business data and processes to ensure that AI operates within the workflows that drive business operations.
AI models trained on SAP knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges.
The collaboration between SAP and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments.
Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.
Together, the companies are also bringing new capabilities to SAP Integrated Business Planning that combine agent-based reasoning with the NVIDIA cuOpt GPU-accelerated optimization engine.
This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with SAP’s supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.
SAP is also enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes.
And because SAP’s AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through SAP AI Core.
For more information about this news, visit www.sap.com.