Part of UMRCP provided by ITSThe 2021-22 rates for the Great Lakes Cluster have been approved. These rates represent cost recovery for the Great Lakes Cluster, and do not include any support your unit may choose to provide.

Partition Rate Per Minute Rate Per Month CPU Cores Memory Unit GPU Unit
standard/debug/viz $0.000250463 $10.82 1 7 gigabytes N/A
largemem $0.000770370 $33.28 1 41.75 gigabytes N/A
gpu $0.002739120 $118.33 20 90 gigabytes 1
spgpu $0.001807870 $78.10 4 48 1

The monthly rate is based on a 30-day month; per-minute rates are included for reference. Charges are based on the percentage of the machine your job requests (in terms of the amount of cores, memory, and GPUs), and its actual runtime.

Estimating Maximum Job Costs

The command can estimate the maximum cost of job based on cpu, memory, gpu, and partition selection. The amount returned is the most a job could cost and does not account for any unit or other subsidies you have access to.

my_job_estimate --help 
my_job_estimate --cores 20 --memory 10gb --partition standard

College of Engineering Funding

The College of Engineering (CoE) cost shares a portion of the use of the Great Lakes cluster for externally-sponsored research conducted by CoE researchers who are paying to use the Great Lakes cluster on CoE shortcodes.  For more information, see:

Medical School Funding

The Medical School will cost-share 80% of the Great Lakes Cluster rates for sponsored research accounts for researchers in these units who are paying to use the Great Lakes Cluster on unit Shortcodes.

College of Literature, Science, & the Arts Funding

The College of Literature, Science, and the Arts provides a cost-share of 80% for researchers in College units paying for their use of the Great Lakes cluster on unit shortcodes. LSA researchers who do not have access to any other account may be eligible to use the accounts provided centrally by LSA. The usage policy and restrictions on these accounts is described in detail on the LSA’s public Great Lakes accounts page. Questions about access or use of these accounts should be sent to

See the LSA funding page for information on funding courses at the College of Literature, Science, and the Arts.

School of Public Health Funding

The School of Public Health will cost-share 80% of the Great Lakes Cluster rates for sponsored research accounts for researchers in these units who are paying for their use of Great Lakes Cluster on unit Shortcodes. NOTE: The SPH cost-sharing is limited to a finite budget. Therefore, SPH faculty and staff must check with the Assistant Dean for Finance to verify if/how much cost-sharing is available.

Getting a Slurm Account

To establish a Slurm account for a class please contact us at with the following information:

  • Students to be put on the account
  • Shortcode to be used for billing
  • List of individuals to administer the account

Any limits to be placed on the either the users or the account as a whole

Please note: courses are currently free of charge through the end of winter term 2020. All students will need to have a user login to use the account. Use the Login Request form to get an account.

Example jobs and their charges¹

To help illustrate how the job charges work, here are some examples of differently-sized jobs.

Partition Total CPU Cores Used Total Memory Used Total GPUs Used Cost Per Minute
standard 1 1 GB N/A $0.000250
standard 1 10 GB N/A $0.000500
standard 36 5 GB N/A $0.009000
standard 1 50 GB N/A $0.002000
largemem 1 180 GB N/A $.003852
gpu 1 20 GB 1 $0.002739

¹ The charges above have been rounded for readability.

If you have questions, please send email to

Order Service

Billing for the Great Lakes service began on January 6, 2020. Existing, active Flux accounts and logins have been added to the Great Lakes Cluster. Complete this form to get a new Great Lakes cluster login.

If you would like to create a Great Lakes Cluster account or have any questions, contact with lists of users, admins, and a shortcode. UMRCP accounts are also available to eligible researchers. For more information, please visit our UMRCP page.