PBH

Anytime!

Thank you. I think I now have all the information I needed. Very much appreciate the helpful comments.

The cards use chassis fans to push air through them at VERY high rates. We are talking 200-400+ CFM at full load. So, a normal fan will not keep it cool. Plus, you will need a second video card to use as display out. As far as everything else goes it is just a standard card. Still uses the ATX mounting system. My worry is just keeping it cool. Honestly, to me, it is not worth the hassle. You could probably rent time from AWS for what you need. 

https://aws.amazon.com/emr/pricing/

Moderators note:
This seems to be good to leave open for realistic solutions. Asking to access others computers is not one of them. Anonymous distributed computing (what I think they mean by BOINC) is more realistic, so is buying time from some supercomputer (your instructor should know which universities or research companies are good to contact).

Have you considered a service like Amazon AWS EC2?

Remote compute power is fairly cheap. A machine with 16 K80 GPUs and 64 Broadwell Xeon Cores (p2.16XLarge) has a base cost of $14.00USD per hour, however this price can fluctuate significantly based on demand and fluctuation (usually the price goes down). This configuration should give roughly 70 TFLOPS single precision and 23 TFLOPS double precision performance.

AWS has many, many different machine configurations optimized for compute, either GPU accelerated or not, that come in at different price/performance ratios. Some are overwhelmingly cheap, coming in at a few cents per hour, although in terms of compute performance you get what you pay for, so you need to do an analysis to figure out which will be the cheapest overall.

You could maybe look into making a BOINC project, so people could make use of their own hardware to contribute to your cause.
I would be weary of someone who I do not know accessing my computer from a distance.

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i don’t know if this is out of budget, but is there any super computer time slots you could rent out?

What type of compute do you need (FP32, FP16, int32, FP64)? Quadro RTX cards have good 16 and 32 bit efficiency but do pretty badly on FP64, which is what a lot of scientific workloads use.

If you're looking for a cheap-ish FP64 card, you can often find old Tesla compute cards on the used market for much less than an RTX 4000 that will absolutely flatten it in FP64. Just be aware that you may have to rig up a fan somehow as many of these server cards don't have active cooling.
 
I believe older AMD cards are also pretty decent in FP64 if you can find a good price on one used, but they don't touch a Tesla K40 or similar in that regard.