05 · Research Computing

Keep your research in-house and prove every GPU hour.

Vantage Compute gives every department self-service notebooks and batch jobs on shared clusters, with fair share and usage attributed to each department and project.

JupyterLab running on a Vantage Compute GPU cluster with live GPU panels
Notebooks on GPU clusters, in seconds
The Challenge

You cannot recover what you cannot prove.

  1. 01

    GPUs are allocated by email and spreadsheet.

  2. 02

    Without usage you can prove, cost recovery and the next budget request both suffer.

  3. 03

    New users need Slurm expertise before running anything.

With Vantage

Self-service for researchers. Proof for leadership.

Self-Service Notebooks

JupyterLab on your GPU clusters, without filing a ticket.

No-Code Job Submission

Run complex simulations from prepared templates through a simple interface.

Fair Share and Chargeback

Queues, nodes and spend per department and project in a single view.

One control plane over every cluster, with chargeback you can show leadership.

How It Runs

From submission to result.

Step 01Federate identity

Campus sign-on maps users to accounts.

Step 02Set fair share

Departments and projects get their share by policy.

Step 03Researchers self-serve

Notebooks and templates, no tickets.

Step 04Report usage

GPU hours and spend tied to each department and project.

Built For
  • HPC Systems Admins
  • Research Software Engineers
  • PhD Researchers
  • Research Computing Leads
  • Grant Administrators