IBM is expanding its collaboration with NVIDIA to offer planned new integrations based on the NVIDIA AI Data Platform reference design. The move is aimed at helping enterprises more effectively put their data to work to help build, scale, and manage generative AI workloads and agentic AI applications.
As part of this 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.
According to the vendors, 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.
"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."
Leveraging 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:
- Augmenting unstructured data processing for AI performance
- Enabling more accessible AI
- Increasing support for compute-intensive workloads
- Transforming processes with Agentic AI and NVIDIA
- Optimizing compute intensive AI workloads across hybrid cloud environments
"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."
For more information about this news, visit www.ibm.com or www.nvidia.com.