The MIRTH AI Lab is thrilled to announce a significant enhancement in their research capabilities, thanks to a funding award from NVIDIA and the University of Florida’s Research Computing Team. The lab’s proposal, “Generative Diffusion Models for 3D and 4D Medical Image Analysis,” in collaboration with Dr. Kuang Gong, have secured access to 16 A100 GPUs, 200 CPUs, and 20 TB of storage for a one and a half-year period, roughly totaling $300,000 worth of computing resources.
The monumental support provided by NVIDIA and UF Research Computing will enable the lab to develop state-of-the-art diffusion models for fast 3D and 4D medical image analysis.
The A100 GPUs, known for their high performance and versatility, are expected to drive substantial progress in deep learning and complex simulations. Along with the extensive CPU power and storage capacity, the MIRTH AI Lab is well-positioned to achieve groundbreaking results in the field of AI in medicine.
NVIDIA’s support highlights its commitment to advancing AI research and fostering innovation in the tech community. The MIRTH AI Lab’s success in securing this funding showcases the promising potential of their proposed research and their leading role in AI advancements.
Stay tuned for more updates as the MIRTH AI Lab embarks on this exciting journey, leveraging NVIDIA’s cutting-edge technology to make significant strides in artificial intelligence.