Size Your Academic GPU Cluster
Configure a hybrid Teaching Cluster + MI350P Cluster Advanced Services compute infrastructure tailored to your institution. Fill in your requirements and see the recommended cluster configuration in real time.
Institution Details
Curriculum & Departments
Capacity Planning
Usage Configuration
Facilities, Power, Space & Network
Answer what you know — anything left as “Unknown” is fine.
Skip the facilities and network questions and tell us who to contact instead.
LAN & IP Environment
Contacts
Facilities / data center contact (optional)
Network / LAN contact (optional)
Electrical / power contact (optional)
IT / systems administration contact (optional)
Information security contact (optional)
AI Workloads & Use Cases
Tell us what you plan to run. Select everything that applies.
Inference & AI Applications
Model Development
Teaching & Research Computing
Small
Recommended Cluster Size
0
0
8–16
32 TB
1–2 GPUs per VM • 1×16 GPUs/unit
0
0
8–15
60 TB
2–4 GPUs per VM • Slurm across all GPUs • 1×30 GPUs/unit
Combined Infrastructure
0
Total GPUs
16–31
Total VMs
0 TB
Total Storage