GPU compute
GPU compute at DePaul University is documented in the Resource Map at 3 locations: PROVE Lab, VIDA / MedIX / IMP Labs, and High-Performance Compute Cluster (HPCC). Listed instruments include Formal verification and CPS research compute workstations, NVIDIA GPU workstations — IMP Lab (per NIH STRONG BRIDGE Facilities), NVIDIA H100 NVL GPUs, and CDM AI Server — 4× NVIDIA A100 GPUs (320 GB GPU memory); Ubuntu 20.04 with Lambda Stack (TensorFlow, PyTorch, CUDA, cuDNN); 64 CPU cores; 1 TB RAM; 7.7 TB NVMe. Access depends on the hosting unit.
Follow the resource page for contacts and sources.
Access (availability): 🟢 Green — open or routine · 🟡 Yellow — appointment or affiliation · 🔴 Red — restricted · ⚪/⚫ White/Black — not yet classified
Verification: ✓ confirmed · ~ likely · ? needs review · ✕ archived
Locations
| Status | Resource | Instruments | Access | Verification |
|---|---|---|---|---|
| 🟡 ~ | PROVE Lab | Formal verification and CPS research compute workstations | Needs an appointment or affiliation | Likely current |
| 🟡 ✓ | VIDA / MedIX / IMP Labs | NVIDIA GPU workstations — IMP Lab (per NIH STRONG BRIDGE Facilities) | Needs an appointment or affiliation | Confirmed |
| 🟡 ? | High-Performance Compute Cluster (HPCC) | NVIDIA H100 NVL GPUs; CDM AI Server — 4× NVIDIA A100 GPUs (320 GB GPU memory); Ubuntu 20.04 with Lambda Stack (TensorFlow, PyTorch, CUDA, cuDNN); 64 CPU cores; 1 TB RAM; 7.7 TB NVMe | Needs an appointment or affiliation | Needs review |
Search terms
gpu cluster, nvidia, h100, a100, cuda
These terms are aliases for this page. They are not separate pages.
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