Mayo Clinic upgrades its AI infrastructure with NVIDIA Blackwell to accelerate GenAI Powered digital pathology and precision medicine.
Mayo Clinic has deployed NVIDIA’s DGX SuperPOD with Blackwell-powered DGX B200 systems to support large-scale GenAI applications in clinical care. This infrastructure enables rapid development of foundation models for digital pathology. As well as precision medicine, and drug discovery.
The partnership allows Mayo to process massive imaging datasets for training GenAI models, reducing weeks-long analysis to just days. These models help detect disease earlier and automate tasks, allowing clinicians to focus more on patient care. One key effort is accelerating pathology slide analysis, a process critical for diagnostics and treatment planning.
Mayo’s AI-driven pathology model, Atlas, was developed with Aignostics and trained on over 1.2 million digitized whole-slide images. The upgraded computing stack enhances Atlas’s speed, accuracy, and scalability. With over 20 million pathology slides on record, Mayo is positioned to push GenAI further into clinical workflows.
These innovations align with Mayo’s broader “Bold. Forward.” digital transformation strategy. By combining clinical expertise with scalable GenAI infrastructure, Mayo aims to improve outcomes, reduce administrative load, and strengthen commercial partnerships. NVIDIA’s Blackwell system serves as the foundation for this shift, powering multimodal AI solutions designed for real-world healthcare impact.
