Price Sheets

attention The cost for the new NVIDIA Ampere A100 GPUs that power the DGX A100 nodes in HiPerGator AI will be measured as a multiple of the Normalized GPU Unit (NGU), which can be purchased as hardware or leased at the rates published on this page.

Although the NVIDIA Ampere A100 GPU is significantly more powerful, the average application performance ratio between the new A100 and the RTX 2080ti and RTX 6000 GPUs is not yet known. As a result, until December 31, 2021, the HiPerGator scheduler will treat the A100 as equivalent to the other GPUs. This means that an investment in 1 NGU will give access to 1 A100 GPU or 1 RTX 2080ti GPU or 1 RTX 6000 GPU.

We expect that access to 1 A100 GPU will require 2, 3, or 4 NGUs. In planning for proposal budgets that include use of the A100, you should keep this in mind. We will evaluate the data in July 2021 and update the scheduler policy accordingly.

attention Purchases made by UF faculty members and collaborators are heavily subsidized.
Commercial pricing is also available for qualifying organizations.

UFIT’s Research Computing resource access is available either by purchase of hardware or through a charged service. See the Allocations policy page for more details. Note that when purchased as a service, the cost of resources is 10% higher than equipment purchased for its lifetime. Training and consultation services are also available to cluster users.

Select the price sheet appropriate for your group and decide what level of investment will meet your research needs:

Cost Comparison

Research Computing products and services are designed to support change and innovation. If you cannot see what you are looking for, please contact us and let us know how we can help meet the requirements of your group’s research.

The rates for the services offered by the University of Florida to faculty for teaching and research are charged in a different way than in the commercial cloud. The goal is to provide a stable budgeting environment. We charge in advance for capacity (computing and storage), whether you use the capacity or not, for a minimum duration of at least 3 months.

The cost for UF faculty only recovers the acquisition cost (the majority, not 100%) of the hardware. It does not include the staff salaries, data center mortgage, or electricity cost. Users who buy capacity get the benefit of any hardware refresh that takes place during the time of the investment.

We regularly compare our prices to commercial cloud providers, and we consistently are less expensive than even their lowest rates. But the main advantage for research grants and other projects with fixed budgets, as opposed to consumer businesses who generate more revenue when their activity goes up, is that there are no surprising bills.

The fully burdened cost to the University of Florida for delivering one core hour on HiPerGator includes the cost of the UF Data Center, electrical power, and staff salaries and forms the basis for our commercial pricing. This pricing is available to special organizations on a case by case basis. We are not a commercial cloud provider.

There are many advantages to fully mature commercial cloud services that are not provided by HiPerGator. This is part of the reason their prices are higher. These advantages include:

  • The latest cores, meaning faster processing
  • Hardware options unavailable from UFIT RC (FPGAs, high RAM-core ratios, etc.)
  • Software options not available from UFIT RC (Special operating systems, need for root access, unique configuration requirements)
  • Bursting for larger jobs with tight timelines: Need for 50,000 cores for the weekend with funds available
  • Off-site backups/redundancy/high-availability