Healthcare research data can be large and complex to process. NVIDIA has two very important frameworks that help researchers to deal with it efficiently:

1. NVIDIA Clara Train, an application framework for training medical imaging models, has undergone significant changes for its upcoming release at the beginning of May, with product enhancements for better AI model training.
2. MONAI, the Medical Open Network for AI. MONAI is an open-source, PyTorch-based framework that provides domain-optimized foundational capabilities for healthcare. This community-led library helps create reproducible experiments by reducing the need for duplication or re-implementation.

SingHealth’s New Supercomputer to Speed Up Heart Disease, Future Pandemic Research

Agreements were signed between NSCC, SingHealth and American chipmaker Nvidia for the supercomputer on Tuesday (March 1) at the Supercomputing Asia 2022 event at Suntec convention centre. Under the agreements, Nvidia will provide access to its software tools and artificial intelligence (AI) models for healthcare research.

Check out the news published by Kenny Chee on The Straits Times here:

https://www.straitstimes.com/tech/tech-news/new-supercomputer-to-speed-up-heart-disease-future-pandemic-research

Where Do NVIDIA Clara and MONAI Run?

While you can run both Clara Train and MONAI on any server platform with an NVIDIA GPU, running these on NVIDIA DGX A100 GPUs provide up to a sixfold acceleration in training turnaround time thanks to the optimization.

To learn more about NVIDIA DGX A100, visit our solution page NVIDIA DGX A100, AI Supercomputer for Research.

More Information about NVIDIA Clara Train and MONAI

User guide for NVIDIA Clara Train SDK

https://docs.nvidia.com/clara/clara-train-sdk/index.html

User guide for MONAI

https://monai.io/docs.html