QCT POD for Medical: An Optimized Converged AI/HPC Platform to Realize AI Medical Imaging

There is massive growth in the number of medical images which must be processed, analyzed, and stored. Artificial Intelligence (AI) is increasingly being used to analyze medical images generated from a wide variety of medical devices. It is critical that medical organizations and researchers have a method for efficiency, simplification, and scalability to process, analyze and store medical imaging workloads.

This paper describes how Quanta Cloud Technology (QCT) developed the QCT POD for Medical platform to meet high-performance computing (HPC) and AI processing medical imaging needs. QCT on-premises rack-level compute and storage systems, including the integrated Qumulo storage solution, provides the infrastructure needed in AI training and medical image processing. QPM provides researchers and medical organizations with a streamlined way to launch and use NVIDIA Clara tools for developing, training, and managing AI medical imaging applications.

Please register to read this whitepaper produced by Tabor Custom Publishing in conjunction with HPCwire, and sponsored by QCT and Nvidia

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!