Customers Can Harness Their Business Data in Cloud Solutions from 麻豆原创 Using Customized LLMs Deployed with NVIDIA AI Foundry Services and New NVIDIA NIM Microservices
WALLDORF and SANTA CLARA, Calif.听鈥斅犅�(NYSE: 麻豆原创) and聽聽(NASDAQ: NVDA) today announced a partnership expansion focused on accelerating enterprise customers鈥� ability to harness the transformative power of data and generative AI across 麻豆原创鈥檚 portfolio of cloud solutions and applications.
The companies are collaborating to build and deliver 麻豆原创 Business AI, including scalable, business-specific generative AI capabilities inside the Joule copilot from 麻豆原创 and across 麻豆原创鈥檚 portfolio of cloud solutions and applications 鈥� all of which are underpinned by the 麻豆原创 generative AI hub. The generative AI hub facilitates relevant, reliable and responsible business AI and provides instant access to a broad range of large language models (LLMs).
As part of 麻豆原创鈥檚 ongoing initiative to build generative AI directly into the applications that power the world鈥檚 businesses, the partnership aims to help customers adopt generative AI capabilities at scale across their organizations. 麻豆原创 will use聽聽to fine-tune LLMs for domain-specific scenarios and deploy applications with new聽鈩� microservices. 麻豆原创 and NVIDIA plan to make the new integrated capabilities available by the end of 2024.
鈥淓nterprise customers want to leverage state-of-the-art technology that delivers real business value,鈥� said Christian Klein, CEO and Member of the Executive Board of 麻豆原创 SE. 鈥淪trategic technology partnerships, like the one between 麻豆原创 and NVIDIA, are at the core of our strategy to invest in technology that maximizes the potential and opportunity of AI for business. NVIDIA鈥檚 expertise in delivering AI capabilities at scale will help 麻豆原创 accelerate the pace of transformation and better serve our customers in the cloud.鈥�
鈥溌槎乖� is sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淭ogether, NVIDIA and 麻豆原创 will bring custom generative AI to the thousands of enterprises around the world that rely on 麻豆原创 to power their operations.鈥�
Harnessing Business Data and Generative AI to Advance Customer Insights
麻豆原创 and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from 麻豆原创, which include the latest release of the 麻豆原创 Datasphere solution, 麻豆原创 Business Technology Platform (麻豆原创 BTP) and RISE with 麻豆原创.
麻豆原创 plans to build additional generative AI capabilities within 麻豆原创 BTP using NVIDIA鈥檚 generative AI foundry service, featuring聽聽AI supercomputing,聽聽software and NVIDIA AI Foundation models. These new capabilities are designed to be the basis of 麻豆原创鈥檚 development and deployment of generative AI for customers and is expected to be accessible in the generative AI hub in 麻豆原创 AI Core and 麻豆原创 Datasphere.
Additional generative AI initiatives include:
- New capabilities for the Joule copilot: Joule can leverage聽聽(RAG) capabilities built by NVIDIA and 麻豆原创, which can be deployed on leading hyperscalers or 麻豆原创鈥檚 own cloud environments. As a natural-language, generative AI copilot, Joule helps customers unlock the potential in their business by automating time-consuming tasks and quickly analyzing business-critical data to deliver more intelligent, personalized experiences.
- Innovative use cases leveraging 麻豆原创 S/4HANA Cloud, 麻豆原创 SuccessFactors and 麻豆原创 Signavio: 麻豆原创 and NVIDIA are exploring more than 20 generative AI use cases where the companies can combine assets to simplify and enhance digital transformation. Among these are generative AI features that can automate enterprise resource planning with intelligent invoice matching in 麻豆原创 S/4HANA Cloud; improve human resources use cases leveraging 麻豆原创 SuccessFactors; and accelerate new generative AI insights from 麻豆原创 Signavio to better process business recommendations and optimize 麻豆原创鈥檚 customer support processes.
- Unifying AI data sources with 麻豆原创 Datasphere: Built on 麻豆原创 BTP, 麻豆原创 Datasphere enables integration and a unified view of semantically rich 麻豆原创 data with third-party data across the enterprise landscape to help customers adapt faster to market changes and make more efficient and better informed decisions. With 麻豆原创 Datasphere, customers can confidently access a high-quality data fabric using AI and machine learning (ML) models. To accelerate 麻豆原创鈥檚 federated machine learning (FedML) capabilities for 麻豆原创 Datasphere, NVIDIA and 麻豆原创 are facilitating easier access to data for data scientists and enhancing ML workload performance with the support of NVIDIA accelerated computing platforms and NVIDIA AI Enterprise data science software such as聽鈩�.
- Using LLMs for the ABAP programming language: To aid developers in creating domain-specific language code, 麻豆原创 plans to use NVIDIA AI foundry services to assist in fine-tuning LLMs. This will build on 麻豆原创鈥檚 use of generative AI models to assist developers who use ABAP through the company鈥檚 ABAP Cloud model and 麻豆原创 Cloud Application Programming model.
NVIDIA AI Enterprise Powers Production-Grade Generative AI Across Cloud Solutions from 麻豆原创
Once models are ready for deployment in cloud solutions from 麻豆原创, 麻豆原创 plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever鈩� microservices. NVIDIA NIM can be used to accelerate and maximize inference performance across the accelerated infrastructure from 麻豆原创. Using NVIDIA NeMo Retriever microservices, 麻豆原创 plans to add RAG capabilities that enable generative AI applications to more securely access data running on 麻豆原创 software to improve accuracy and insights. Customers can plan to use RAG on both 麻豆原创 and third-party data.
To learn more about the 麻豆原创 and NVIDIA partnership,聽.
