Private GPU compute for RVCE students
Run your deep-learning, rendering and other student GPU projects on an NVIDIA RTX 5090 (32 GB). You don't need your own GPU, and you don't have to share a lab machine.
How it works
Step 1
Sign up
Create an account with your @rvce.edu.in email and verify it.
Step 2
Choose and upload
Pick an approved workload (e.g. a PyTorch script or a GPU benchmark), set options and upload your files.
Step 3
Pay with credits
Use ComputeMint Credits. Choose the standard queue, or reserve a fixed time slot.
Step 4
Download results
Your job runs in an isolated container. Download the results from your dashboard.
Built to be safe
- Every job runs in its own locked-down container, with no internet access and hard CPU, memory and time limits.
- Only approved workload types can run. There's no shell or remote login to the machine.
- Your files are deleted automatically: inputs when the job ends, results after 72 hours.
- Job contents aren't routinely inspected. See our privacy notice.
Early access. ComputeMint is a small student-run service that is currently being tested with invited users. The GPU is a personal machine, so availability is limited and the service may be paused at times.