IBM Fusion Leads with NVIDIA AI for Advanced Medical Research

Published Date : 05/11/2025 

IBM Fusion has delivered one of the first implementations of the NVIDIA AI Data Platform, enabling UT Southwestern Medical Center to advance AI-driven medical research and patient care. 

IBM Fusion has delivered one of the industry's first implementations of the NVIDIA AI Data Platform reference design, featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software. This groundbreaking integration is designed to meet the increasing demands of AI infrastructure, integrating enterprise storage with accelerated computing to power AI agents with near-real-time business insights.

UT Southwestern Medical Center, a leading academic medical center in the United States, is the first client to deploy this reference design with IBM Fusion. This deployment unlocks new capabilities for large-scale training and inferencing, enabling bigger models, more complex datasets, and fast semantic query responses with precision.

NVIDIA AI Data Platform is a customizable reference design that integrates enterprise storage with accelerated computing to power AI agents. By leveraging NVIDIA AI infrastructure with IBM Fusion's content-aware data services, clients can continuously process, index, and vectorize unstructured and semi-structured data to create AI-ready data for agents. This integration provides clients with a full stack experience and a fast-tracked path to inferencing capabilities.

UT Southwestern is using IBM Fusion to implement the NVIDIA AI Data Platform reference design, leveraging content-aware services to automatically prepare the medical center's data for AI use. IBM Fusion is engineered to unlock new possibilities for training and inferencing at scale, giving clients the ability to run larger models, process more complex datasets, and obtain fast and accurate responses to semantic queries.

IBM Fusion supports various deep research use cases, including drug discovery acceleration, patient digital avatars, and the Helixa AI Assistant. Using the NVIDIA BioNeMo open-source framework integrated with IBM Fusion, researchers can build and train deep learning models for biomolecular discovery, potentially bringing novel therapeutics to patients faster. Patient digital avatars simulate clinical scenarios, empowering students to formulate, validate, and deliver diagnoses more efficiently. The Helixa AI Assistant enhances BioHPC researcher productivity by leveraging research data processed by IBM Fusion.

'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,' said Sam Werner, GM of IBM Storage. 'Our integrations with NVIDIA are built to help clients unlock hidden insights from data to supercharge AI and analytics initiatives.'

'AI is opening transformative opportunities in healthcare research—from decoding genomics to interpreting complex medical imaging and accelerating translational breakthroughs,' said Anne Hecht, Senior Director, Enterprise Platforms at NVIDIA. '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.'

To learn more about IBM Fusion, visit: https://www.ibm.com/products/storage-fusion

About IBM:

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain a competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications, and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to effect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions, and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service. Visit www.ibm.com for more information. 

Frequently Asked Questions (FAQS): 

Q: What is the NVIDIA AI Data Platform?

A: The NVIDIA AI Data Platform is a customizable reference design that integrates enterprise storage with accelerated computing to power AI agents with near-real-time business insights.

Q: How does IBM Fusion support AI-driven medical research?

A: IBM Fusion supports various deep research use cases, including drug discovery acceleration, patient digital avatars, and the Helixa AI Assistant, by leveraging content-aware data services and NVIDIA AI infrastructure.

Q: What are the key components of the NVIDIA AI Data Platform?

A: The key components include NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software.

Q: How does UT Southwestern Medical Center benefit from this implementation?

A: UT Southwestern Medical Center benefits from the ability to conduct large-scale training and inferencing, process complex datasets, and obtain fast and accurate semantic query responses, enhancing medical research and patient care.

Q: What is the Helixa AI Assistant?

A: The Helixa AI Assistant enhances BioHPC researcher productivity by leveraging research data processed by IBM Fusion, providing secured, contextual support. 

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