Overview
Transform big data into next-generation intelligence. GPU Computing supports graphical processing unit (GPU) jobs to access massive computing power. FSU researchers can access an increasing number of compute nodes equipped with GPUs via the High Performance Computing cluster managed by the ITS Researching Computing Center. GPUs are especially salient in the machine learning, artificial intelligence and data science domains, and many scientific applications and libraries—including CUDA, TensorFlow and PyTorch—are designed to take advantage of GPU processors.
Highlights
Tackle Demanding Tasks
take on graphically intensive processes like machine learning with confidence
Several GPU Models
several powerful GPU hardware models available to suit specific goals
Multiple Platforms
CUDA, TensorFlow, PyTorch and more scientific applications and libraries available
Submission Options
submit GPU jobs via Open OnDemand or the CLI, depending on specific needs
Cost
Paid
Cost Details
Available To
Faculty
Departments
