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. If you need even more power, add on the RCC GarnetCache service to your virtual machine for even faster solid-state storage. This service is provided exclusively for FSU researchers to support grant-funded research activities.
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
GarnetCache Add-On
additional high-speed, solid state storage for workloads on the HPC
Cost
Paid
Cost Details
Available To
Faculty
Departments
Getting Started
Already using Compute GPN but need more? Add-on GarnetCache to help meet your needs. Request this service for more information.
Additional Information
GarnetCache Add-On Service:
NVME solid state storage available for GPU jobs that run on multiple compute nodes
56Gbps InfiniBand NFS RDMA connectivity to the cluster
42 TiB total space
