Accelerate your computational research with GPUs

Many scientific and analytic applications can benefit from the acceleration available by running on GPUs in addition to, or instead of, just the CPUs available in compute nodes.YCRC’s clusters currently have over 600 GPUs available for use including 84 A100s and 152 A5000s. For full details of the available resources, please visit https://docs.ycrc.yale.edu/clusters/ and then select the cluster that you are running on. Please be sure to request appropriate GPUs be allocated to your jobs. More information can be found in the HPC Clusters User Guide at https://docs.ycrc.yale.edu/clusters-at-yale/job-scheduling/resource-requests/#request-gpus.

Please contact hpc@yale.edu with any questions.