IBM Fusion Delivers Pioneering Implementation of NVIDIA AI Data Platform for Agentic AI

Rhea-AI Summary

IBM (NYSE: IBM) announced that IBM Fusion delivered one of the first implementations of the NVIDIA AI Data Platform reference design on Nov. 4, 2025, using NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software.

UT Southwestern Medical Center is the first client to deploy the reference design with IBM Fusion to enable large-scale training and inferencing, process complex datasets, and deliver fast semantic query responses for drug discovery, clinical training, and researcher productivity.

Positive

• First deployment by UT Southwestern of NVIDIA AI Data Platform with IBM Fusion
• Supports larger models, more complex datasets, and faster semantic queries
• Integrates NVIDIA RTX PRO 6000 Blackwell GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software
• Enables use cases: drug discovery, patient digital avatars, and a Helixa AI assistant

Negative

• None.

Insights

Infrastructure architect

IBM Fusion implemented NVIDIA AI Data Platform for UT Southwestern to scale training and inference using RTX PRO 6000 Blackwell GPUs.

The deployment pairs IBM Fusion with the NVIDIA AI Data Platform stack—RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software—to prepare unstructured and semi-structured data for large-scale model training and low-latency inferencing. The solution emphasizes continuous processing, indexing, and vectorization to create AI-ready data and integrates NVIDIA NeMo Retriever Microservices for agentic query workflows.

Key dependencies include validated end-to-end throughput for training and inference, secure handling of sensitive medical data during indexing, and operational integration across hybrid clouds; each component must perform to deliver the stated gains. Watch implementation metrics such as end-to-end latency for semantic queries, sustained GPU utilization, and successful integration with NeMo retrievers after the Nov. 4, 2025 announcement.

Healthcare AI research lead

UT Southwestern will use IBM Fusion plus NVIDIA to support drug discovery, patient avatars, and a research assistant, enabling new research workflows.

The platform targets specific research workflows: accelerated biomolecular model training via NVIDIA BioNeMo integration, creation of secured patient digital avatars from internal data and literature, and the Helixa AI Assistant for contextual researcher support. The announcement frames these uses as immediate application areas where indexed, vectorized data can feed larger models and complex datasets.

Practical risks include validation of model outputs for clinical or translational use and demonstration that the ingested data yields reproducible, clinically meaningful results; these require empirical milestones. Monitor published research outputs, validated use cases for drug discovery, and any secure-deployment validations in the months following the Nov. 4, 2025 deployment to assess real-world impact.

UT Southwestern Medical Center Propels AI-Driven Medical Research with IBM Fusion to Support Researchers, Doctors, and Patients

ARMONK, N.Y., Nov. 4, 2025 /PRNewswire/ -- IBM (NYSE: IBM) today announced that 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.

UT Southwestern Medical Center is the first client to deploy this reference design with IBM Fusion, unlocking new capabilities for large-scale training and inferencing – enabling bigger models, more complex datasets, and fast semantic query responses with precision.

IBM Advances Data Storage and Compute to Propel AI Forward with NVIDIA

NVIDIA AI Data Platform is a customizable reference design for the increased demands of AI infrastructure that integrates enterprise storage with accelerated computing to power AI agents with near-real-time business insights. 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 and derive insights to enhance the value of AI applications. IBM Fusion's content-aware data services integrate with NVIDIA NeMo Retriever Microservices to deliver AI agents that also use that data indexing, providing clients with a full stack experience and fast-tracked path to inferencing capabilities.

NVIDIA AI Data Platform with IBM Fusion Leverages Data for AI Use

UT Southwestern, a leading academic medical center in the United States, is one of the first clients in the world 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 and built to give clients the ability to run larger models, process more complex datasets, and obtain fast and accurate responses to semantic queries.

IBM Fusion supports different types of deep research use cases that could benefit drug research, clinical training, and researcher productivity. Specific areas of use include:

• Drug Discovery Acceleration: Using NVIDIA BioNeMo™ open-source framework integrated with IBM Fusion, researchers can build and train deep learning models for biomolecular discovery, with the goal of researchers bringing novel therapeutics to patients faster.
• Patient Digital Avatars: Clients internal data and medical literature are securely ingested into IBM Fusion to power an innovative training environment where AI-driven patient avatars simulate clinical scenarios, empowering students to formulate, validate, and deliver diagnoses more efficiently.
• Helixa AI Assistant: Enhance BioHPC researcher productivity with secured, contextual support 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 is 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 affect 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.

Media Contact: 
Alexandra Demetriades
Alexandra.Demetriades@ibm.com 

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SOURCE IBM

FAQ

What did IBM announce about IBM Fusion and NVIDIA on Nov. 4, 2025 for IBM (IBM)?

IBM announced that IBM Fusion implemented the NVIDIA AI Data Platform reference design, deployed with NVIDIA RTX PRO 6000 Blackwell GPUs and NVIDIA AI Enterprise software.

Which medical center is the first client to deploy IBM Fusion with the NVIDIA AI Data Platform?

UT Southwestern Medical Center is the first client to deploy the NVIDIA AI Data Platform reference design with IBM Fusion.

How does IBM Fusion with NVIDIA AI Data Platform benefit researchers using IBM (IBM)?

It prepares AI-ready data, supports larger models and complex datasets, and delivers fast semantic query responses for research workflows.

What specific research use cases did IBM highlight for IBM Fusion with NVIDIA for IBM (IBM)?

IBM highlighted drug discovery acceleration, patient digital avatars for clinical training, and the Helixa AI assistant for BioHPC researcher productivity.

What NVIDIA hardware and software are included in the IBM Fusion implementation announced Nov. 4, 2025?

The implementation uses NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Networking, and NVIDIA AI Enterprise software.

Where can investors learn more about IBM Fusion and this NVIDIA integration for IBM (IBM)?

Information is available on IBM's product page at https://www.ibm.com/products/storage-fusion.