IBM announced that IBM Fusion has completed an early implementation of the NVIDIA AI Data Platform reference design. This platform uses NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software.
UT Southwestern Medical Center is the first client to use this new system with IBM Fusion. The medical center aims to improve its ability to train large-scale AI models and handle more complex data sets, enabling faster and more precise semantic queries.
The NVIDIA AI Data Platform provides a customizable design for AI infrastructure by integrating enterprise storage with accelerated computing. This setup is intended to give AI agents near-real-time business insights. With IBM Fusion’s content-aware data services, clients can process, index, and vectorize both unstructured and semi-structured data, preparing it for use in AI applications. These services also integrate with NVIDIA NeMo Retriever Microservices, giving clients a complete stack and quicker access to inferencing capabilities.
At UT Southwestern, IBM Fusion prepares data for use in various research applications. The platform is designed to support larger models and handle more complex datasets for fast responses to semantic queries.
Use cases include drug discovery acceleration using the open-source NVIDIA BioNeMo framework integrated with IBM Fusion. This allows researchers to develop deep learning models for biomolecular discovery, potentially speeding up the development of new therapeutics. Other applications involve creating digital patient avatars for clinical training by securely ingesting internal data and medical literature into IBM Fusion. The Helixa AI Assistant leverages research data processed by IBM Fusion to enhance researcher productivity.
Sam Werner, GM of IBM Storage, stated: “IBM Fusion is engineered to help organizations conduct deep research by unifying applications and access to data across hybrid clouds to help simplify discovery and data activation that is AI-ready. Our integrations with NVIDIA is built to help clients unlock hidden insights from data to supercharge AI and analytics initiatives.”
Anne Hecht, Senior Director of Enterprise Platforms at NVIDIA, added: “AI is opening transformative opportunities in healthcare research—from decoding genomics to interpreting complex medical imaging and accelerating translational breakthroughs. The context-aware IBM Fusion platform, built with the NVIDIA AI Data Platform reference design, is making diverse, multimodal datasets available to researchers and healthcare providers using AI to accelerate discovery.”
