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White Paper: Hybrid Infrastructure to Accelerate AI Model Training & Development

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In today’s competitive landscape, medical device companies are evolving toward software-defined systems where success in next-generation healthcare depends on parallel, integrated AI and data strategies that enable devices to learn, adapt, and improve.

This white paper explores why a hybrid architecture leveraging Flywheel’s imaging data platform and NVIDIA’s accelerated computing capabilities is crucial to unlocking AI innovation at scale. Learn how a coordinated approach to AI development and enterprise-wide data activation positions device manufacturers to lead in diagnostics, therapeutic monitoring and surgical innovation.