IBM Teams Up with NVIDIA to Supercharge AI Development on the Cloud

IBM has announced a collaboration with NVIDIA to enhance AI capabilities at scale. This partnership focuses on integrating NVIDIA's AI Data Platform technologies with IBM's offerings, such as IBM Fusion and watsonx.

Key highlights of this collaboration include:

• Content-Aware Storage (CAS): IBM plans to introduce CAS in its hybrid cloud infrastructure, enabling enterprises to process unstructured data more effectively for AI applications like retrieval-augmented generation (RAG) and reasoning.
• Enhanced AI Accessibility: IBM aims to integrate its watsonx platform with NVIDIA's technologies, allowing organizations to develop and deploy AI models across various cloud environments.
• Support for Compute-Intensive Workloads: IBM Cloud will expand its NVIDIA accelerated computing portfolio, including the availability of NVIDIA H200 Tensor Core GPU instances, designed for high-performance AI workloads.

This collaboration is expected to drive innovation in generative AI and agentic AI applications.

A 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.

"IBM is focused on helping enterprises build and deploy effective AI models and scale with speed," said Hillery Hunter, CTO and General Manager of Innovation, IBM Infrastructure. "Together, IBM and NVIDIA are collaborating to create and offer the solutions, services and technology to unlock, accelerate, and protect data – ultimately helping clients overcome AI's hidden costs and technical hurdles to monetize AI and drive real business outcomes."

"AI agents need to rapidly access, fetch and process data at scale, and today, these steps occur in separate silos," said Rob Davis, vice president, Storage Networking Technology, NVIDIA. "The integration of IBM's content-aware storage with NVIDIA AI orchestrates data and compute across an optimized network fabric to overcome silos with an intelligent, scalable system that drives near real-time inference for responsive AI reasoning."

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