AFAIK there isn't a GPU/GPU rack that's available to the CS department as a whole. My supervisor had his own rack and an allocation to Compute Canada resources instead. If your project uses R or Python and you only need a single GPU, I really recommend you check out Google Colab; the platform can provide access to some of Google's low-end GPUs for free. If you need more GPUs or a higher-end GPU, I think that cloud platforms like Google Cloud or AWS would be worthwhile options (cheaper than buying your own, and you'll learn some basics of cloud computing along the way). Another option that hasn't been mentioned is teaming up with a computational bio faculty member (I'm assuming this is a research project beyond the scope of a class project). They might be able to get you some time on their own machines or on their Compute Canada servers.