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High-Performance Compute Cluster (HPCC) (CDM-014)

The DePaul Resource Map documents High-Performance Compute Cluster (HPCC) as shared research or teaching infrastructure at DePaul University, Jarvis College of Computing and Digital Media, School of Computing, Loop, from reviewed sources. This listing needs review: a current standalone DePaul webpage confirming the full description has not been identified. University HPC cluster with GPU-accelerated nodes (NVIDIA H100 and A100 CDM AI Server), cloud/container support, and systems evaluation capabilities. Hosted on university research network and datacenter infrastructure (UNI-013). Access: 🟡 Yellow — Needs an appointment or affiliation.

Summary 🟡 ?

  • College / school: Jarvis College of Computing and Digital Media
  • Sub-unit: School of Computing
  • Campus/Location: Loop
  • Last Verified: August 20, 2026

Access (availability): 🟢 Green — open or routine · 🟡 Yellow — appointment or affiliation · 🔴 Red — restricted · ⚪/⚫ White/Black — not yet classified

Verification: ✓ confirmed · ~ likely · ? needs review · ✕ archived

Description & capabilities

University HPC cluster with GPU-accelerated nodes (NVIDIA H100 and A100 CDM AI Server), cloud/container support, and systems evaluation capabilities. Hosted on university research network and datacenter infrastructure (UNI-013).

Access status

  • Access: 🟡 Yellow — Needs an appointment or affiliation
  • Rationale: HPCC is a School of Computing research cluster; account provisioning and eligibility are arranged through SoC/IT research computing staff — public site documents capabilities but not self-service signup.
  • Access URL: hpcc.cs.depaul.edu
  • Contact name: School of Computing (HPCC inquiries)
  • Contact email: cdm@depaul.edu
  • Verification date: 2026-06-30
  • Source URLs:
  • hpcc.cs.depaul.edu

Operational status

  • Status: Not confirmed as a staffed user service
  • Meaning: Listed, but current evidence does not support treating it as a staffed, maintained user service.
  • Rationale: The public HPCC site still advertises a future launch ("Coming Fall 2025") as of August 2026 and does not document account provisioning, staffing, or operations. Grant materials describe GPU capacity (AGIF GRA-916), but there is no current public evidence of a staffed, maintained user service. Do not cite HPCC as available institutional HPC without confirming operations with the School of Computing.
  • Verification date: 2026-08-20
  • Evidence:
  • HPCC homepage still headed "Coming Fall 2025" (captured 2026-08-20); no account-request or operations documentation
  • AGIF award GRA-916 (DePaul High-Performance Compute Cloud, FY 2023-2024) names this infrastructure in the project title — does not document current staffing or user onboarding
  • Operational review report retained by Resource Map maintainers (2026-08-20)
  • Source URLs:
  • hpcc.cs.depaul.edu

Verification

  • Status: ? Needs review
  • Rationale: HPCC public homepage still advertises 'Coming Fall 2025' (recaptured August 2026). Listing documentation remains weak. Usability as a staffed service is recorded on the operational-status layer (impaired), not by inflating this verification score.
  • Last verified: 2026-08-20
  • Evidence:
  • https://hpcc.cs.depaul.edu reachable (May 2026)
  • Homepage text: 'Coming Fall 2025' — no account-request or operations documentation (recaptured 2026-08-20)
  • Grant/map references describe H100/A100 capacity but not live user onboarding
  • AGIF appendix names DePaul High-Performance Compute Cloud — GRA-916; archived institutional source
  • Operational-status report: archived institutional source (status impaired; see )

Equipment

Find this resource from the Equipment catalog or site search by instrument or lab name.

Category Specific equipment
GPU compute 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
HPC and cloud infrastructure Hosted containers and VMs; Kubernetes / DevOps platforms (Docker, Argo CD, Flux); Systems Evaluation Lab (performance measurement)
Creative workstations GPU-capable research workstations (image analysis, model fitting, local ML pipeline testing)

Equipment access (via linked resources)

Resource Notes
UNI-013 Primary/secondary datacenters and campus research network (Internet2 / Starlight)
CDM-021 CDM Xeon server pool and department compute infrastructure

Source: HPCC official site; Facilities-DiaBalance CDM AI Server; grant GPU configs (May 2026). Last verified: July 29, 2026.

Contacts (resource-level)

Last verified: May 28, 2026.

People & contacts

Named contacts when publicly documented.

Source URL

Official links and email are listed under Contacts above.

Documented relationships

Supports AI Institute, Physics and other cross-college compute demand (e.g. closed-loop analysis pipelines paired with CSH-007 beamline instrumentation work). An AGIF-funded DePaul High-Performance Compute Cloud initiative (GRA-916) is documented in the DePaul AGIF Annual Report.

Notes

Infrastructure entry. Documented AGIF award GRA-916 (DePaul High-Performance Compute Cloud, FY 2023-2024) names this infrastructure in the project title. Listing records documented history; it is not an evaluation of the award or the unit.