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IBM Taps NVIDIA AI Data Platform Technologies to Accelerate AI at Scale
IBM Taps NVIDIA AI Data Platform Technologies to Accelerate AI at Scale
About this update from Nvidia Corporation
[{"type":"text","content":"Introducing New Storage Capabilities for Unstructured Data, Planned Integrations with watsonx and IBM Consulting Capabilities for Agentic Reasoning and other AI Workloads\nARMONK, N.Y., March 18, 2025 /PRNewswire/ -- IBM (NYSE: IBM) today announced new collaborations with NVIDIA (NASDAQ: NVDA), including planned new integrations based on the NVIDIA AI Data Platform reference design to help enterprises more effectively put their data to work to help build, scale and manage generative AI workloads and agentic AI applications. As part of today's news, IBM is planning to launch a content-aware storage capability for its hybrid cloud infrastructure offering, IBM Fusion; intends to expand its watsonx integrations; and is introducing new IBM Consulting capabilities with NVIDIA to help drive AI innovation across the enterprise.\n\n \n \n \n \n \n \n\n \nA 2024 IBM report found that more than three in four executives surveyed (77 percent) say generative AI is market-ready, up from just 36 percent in 2023. With this push to put AI into production comes an increased need for compute and data-intensive technologies. The collaboration between IBM and NVIDIA will enable IBM to provide hybrid AI solutions that take advantage of open technologies and platforms while also supporting data management, performance, security, and governance.\nLeveraging the NVIDIA AI Data Platform reference architecture, these new solutions are the latest in the IBM and NVIDIA collaboration to build enterprise infrastructure for AI:\nAugmenting Unstructured Data Processing for AI Performance: With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year.Enabling More Accessible AI: IB...