NVIDIA Senior Solutions Architect Brad Palmer along with the Research Computing team discuss how faculty and student researchers can get the most out of their GPU resources.
Hosted by the ITS Research Computing team, the Research Computing Series provides a forum for faculty and students to learn how to move their work forward by using a wide range of tools available to them—including the SUrge graphics processor unit (GPU) cluster.
SUrge provides a significant speed increase over traditional CPUs for a variety of uses, including mathematical operations, rendering, photogrammetry and more. SUrge features more than 300 GPUs, including several NVIDIA models.