IBM has announced that its IBM Fusion platform has delivered one of the industry's first implementations of the NVIDIA AI Data Platform reference design. The solution, which features NVIDIA Blackwell GPUs and NVIDIA AI Enterprise software, is engineered to help clients process and prepare vast amounts of data for AI use. UT Southwestern Medical Center has been named as the first client to deploy this integrated design, unlocking new capabilities for large-scale AI training and inferencing.
Quick Intel
IBM Fusion implements the NVIDIA AI Data Platform reference design.
The solution integrates NVIDIA's accelerated computing with IBM's data services.
UT Southwestern Medical Center is the first announced client deployment.
The platform processes and vectorizes data to make it AI-ready.
Use cases include drug discovery acceleration and patient digital avatars.
The goal is to enable larger models and faster, more accurate semantic queries.
Unifying Data and Compute for AI
The NVIDIA AI Data Platform is a reference design that integrates enterprise storage with accelerated computing to power AI applications. By leveraging this design with IBM Fusion's content-aware data services, clients can continuously process, index, and vectorize unstructured data, creating AI-ready datasets. IBM Fusion's services integrate with NVIDIA NeMo Retriever Microservices to deliver a full-stack experience that provides a fast-tracked path from data preparation to advanced inferencing capabilities.
Enabling Advanced Healthcare and Research
UT Southwestern, a leading academic medical center, is using the IBM Fusion implementation to automatically prepare its data for AI. The platform supports several deep research use cases, including accelerating drug discovery by using the NVIDIA BioNeMo framework to build and train models for biomolecular discovery. Another application involves creating AI-driven patient avatars that simulate clinical scenarios for student training, and an AI assistant to enhance researcher productivity by providing secured, contextual support.
Powering the Next Wave of AI Insights
This collaboration is focused on helping organizations, particularly in research-intensive fields, unlock hidden insights from their data. The combined power of NVIDIA's computing platform and IBM's data services is designed to simplify discovery and data activation, allowing researchers to run larger models and process more complex datasets. This is intended to supercharge AI and analytics initiatives, transforming how enterprises derive value from their information assets in the AI era.
The deployment at UT Southwestern serves as a benchmark for how integrated AI infrastructure can be applied to solve complex, real-world challenges in healthcare and scientific research.
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.
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