Proposal

Name:

Deep Learning Equipment for Engineering Design

FiscalYear:

2021

Audience:

Engineering and Computer Science, College of

Submitter:

Zhuang, Hanqi

Budget Manager:

Garcia, Iselgis

Project Manager:

Weinthal, C. Perry

Proposal Approvers

Dept. Chair:

Zhuang, Hanqi

Local IT:

Neelakanta, Mahesh

Dean:

Scarpinato, Paul

Facilities:

N/A

OIT:

Bagdonas, Joseph A.

Proposal Funding

Year 1:

$ 42,865.00

Year 2:

$ 0.00

Year 3:

$ 0.00

Total:

$ 42,865.00

Proposal Funding versus Average

Questionnaire

Narrative
Need to purchase a deep learning workstation for CS students who are interested in AI in general and Deep Learning in particular for senior design projects.
Facilities
Hardware Requirements
Lambda Deep Learning workstation with specifications given in the quote.
Software Requirements
It comes with the hardware.
Personnel Costs
No cost.
Other Costs
N/A
Timeline
As soon as possible.
Sustainability
The machine has 3-year warranty.
Resource Matching
N/A
Implementing Organization
The machine will be hosted in one of the EECS lab.

Proposal Budget

Fiscal Year 1 Fiscal Year 2 Fiscal Year 3 Total
Hardware One-Time $ 42,865.00 $ 0.00 $ 0.00 $ 42,865.00
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 $ 42,865.00 $ 0.00 $ 0.00 $ 42,865.00

Supporting Documentation

Filename Size Description
Deep Learning from Lambda.pdf 65,834b Quote from the company.