Proposal
Name:
GPU Workstations for Deep Learning and Machine Learning
FiscalYear:
2021
Audience:
Engineering and Computer Science, College of
Submitter:
Kalva, Harikrishna
Budget Manager:
Garcia, Iselgis
Project Manager:
Kalva, Hari
Proposal Approvers
Dept. Chair:
Zhuang, Hanqi
Local IT:
Neelakanta, Mahesh
Dean:
Scarpinato, Paul
Facilities:
N/A
OIT:
Bagdonas, Joseph A.
Proposal Funding
Year 1:
$ 67,500.00
Year 2:
$ 0.00
Year 3:
$ 0.00
Total:
$ 67,500.00
Proposal Funding versus Average
Questionnaire
Narrative
The Department of Electrical Engineering and Computer Science in response to industry need and student demand has introduced machine learning, deep learning, and artificial intelligence in undergraduate and graduate programs. The recently launched MS in Artificial Intelligence has see high demand. Undergraduate students are opting to work on class projects in areas related to deep learning and machine learning.
We have an unmet need for workstations with GPUs such as NVIDIA RTX 3080 that are needed for student to learn and explore. While some of the students have access to the GPU nodes on the FAU HPC, that access is limited. Further more, students do not have the ability to install and explore the many tools and frameworks available.
This projects requests funds for 30 GPU workstations to provide students with better access equipment and helps students gain hand on experience in the critical areas of machine learning and deep learning.
Workstations are expected to cost about $2000 and a monitor and keyboard are budgeted at $250.
Total budget requested in $2,250 x 30 = $67, 500
Hardware Requirements
This projects requests funds for 30 GPU workstations to provide students with better access equipment and helps students gain hand on experience in the critical areas of machine learning and deep learning.
Workstations are expected to cost about $2000 and a monitor and keyboard are budgeted at $250.
Total budget requested in $2,250 x 30 = $67, 500
A sample workstation quote from Dell retail site is attached.
Software Requirements
No special software requirements. All necessary software is available as open source
Personnel Costs
budget is not requested for personnel costs
Other Costs
budget is not requested for other costs
Timeline
Equipment will be acquired in Summer of 2022 and made available to students in Fall 2022
Sustainability
not appliable
Resource Matching
no resource matching
Implementing Organization
Project will be implemented by the Dept of Electrical Engineering and Computer Science and the IT team in the College of Engineering
Proposal Budget
|
Fiscal Year 1 |
Fiscal Year 2 |
Fiscal Year 3 |
Total |
| Hardware One-Time |
$ 67,500.00 |
$ 0.00 |
$ 0.00 |
$ 67,500.00 |
| Hardware Recurring |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Software One-time |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Software Recurring |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Personnel One-time |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Personnel Recurring |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Other One-time |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Other Recurring |
$ 0.00 |
$ 0.00 |
$ 0.00 |
$ 0.00 |
| Totals |
$ 67,500.00 |
$ 0.00 |
$ 0.00 |
$ 67,500.00 |
Supporting Documentation
