Projects
A Project in Run:AI is your team's workspace. It defines your GPU quota, scheduling priority, and resource boundaries.
Your Lab Project
Each student has been assigned a personal project with the following resources:
| Resource | Allocation |
|---|---|
| GPUs | 1 GPU |
| CPU | 8 cores |
| Memory | 32 GB |
| Priority | Normal |
Viewing Your Project
- Open the Run:AI UI at the URL provided by your instructor
- Navigate to Projects in the left sidebar
- You should see your assigned project (named after your student ID)
GPU Quota
Your project has a guaranteed quota of 1 GPU. This means:
- You can always run at least 1 GPU workload
- If the cluster has spare capacity, you may temporarily use more (over-quota)
- Over-quota workloads can be preempted when other users need their allocation
Projects are pre-configured for this lab. You do not need to create or modify any project settings.