What You Should Know:
– Mayo Clinic announced a pivotal step toward integrating AI solutions in the clinical setting with the deployment of NVIDIA DGX SuperPOD with NVIDIA DGX B200 systems.
– The advanced infrastructure provides state-of-the-art AI compute capabilities, poised to rapidly innovate and develop foundation models in support of Mayo Clinic’s platform approach to healthcare.
Foundation Model Development
The advanced computing infrastructure will initially support foundation model development for:
- Pathomics: The study of disease using computational analysis of pathology images.
- Drug Discovery: Accelerating the identification and development of new therapeutics.
- Precision Medicine: Tailoring medical treatment to the individual characteristics of each patient.
The NVIDIA Blackwell-powered DGX SuperPOD is built to efficiently process large, high-resolution imaging, which is essential for AI foundation model training. Designed for speed and scalability, the Blackwell infrastructure enables Mayo Clinic to accelerate pathology slide analysis and foundation model development, reducing four weeks of work to just one. This significant efficiency gain is expected to ultimately improve patient outcomes. The infrastructure will also advance Mayo Clinic’s generative AI and multimodal digital pathology foundation model development.
“Our aspiration for AI is to meaningfully improve patient outcomes by detecting disease early enough to intervene. What was once a hypothetical — ‘If only we had the right data’ — is now becoming reality thanks to AI and advanced computing,” says Matthew Callstrom, M.D., Ph.D., Medical Director of the Department of Strategy and leader of Mayo Clinic’s Generative Artificial Intelligence Program.
