For njit wulver infrastructure and platform teams
NJIT Wulver: course MIG capacity or whole-device assumptions?
Connect the first useful exception with the relevant runtime evidence. Did the course job receive a MIG slice rather than a full A100?
Free 30-day Team evaluation. No card or automatic subscription. Work email verification required.
Replay a resolved NJIT Wulver workflow incident
Upload your log file. Review the selected evidence and masking, then run diagnosis. Keep the original log for any follow-up questions.
Before uploading, review cloud data handling and local options.
Upload your log file. Large files are processed in your browser. Only selected evidence is submitted when you run diagnosis.
Try Denpex for 30 days. FREE.
No credit card. No automatic subscription. See whether Denpex helps with an incident you already understand.
Start your free 30-day Team evaluation
Up to 50 diagnoses a day for 30 days. Verify your work email to activate an eligible company evaluation, then replay a resolved incident and compare the evidence and next steps with your team's confirmed cause.
What a useful evaluation should establish
Compare one incident your team already resolved with the first failure, cited evidence and remaining questions. Did the course job receive a MIG slice rather than a full A100? Only assign a rank, device or safe recovery state when the submitted evidence establishes it.
Did the course job receive a MIG slice rather than a full A100?
Evidence to compare: Course partition, assigned MIG profile and memory requested by the failing process.
The memory available to one MIG instance differs from the parent GPU capacity. Compare the allocated slice before assuming a model should fit or recommending a hardware replacement.
Did a host-memory limit stop the process before GPU execution?
Evidence to compare: Container or scheduler memory limit, process exit reason and first memory event.
Host memory and device memory are separate limits. Match the process termination to the actual resource boundary before recommending a larger GPU or a device reset.
Was a GPU assigned to the affected process?
Evidence to compare: Job resource request, actual allocation and process-visible device mapping.
A GPU-capable node does not prove this process owns a device. Establish the allocation before interpreting missing visibility as a driver failure.
Use Denpex alongside your existing telemetry tools to investigate submitted incident evidence. With monitoring configured on a supported plan, detected failures can trigger alerts and an automatic diagnosis from the captured evidence.
Inside Denpex
See the evidence, not just the claim
Follow the causal chain, inspect the quoted evidence and prepare the next handoff. These actual product captures use founder-account examples and the VS Code extension, with the source identified under each image. Open a capture to inspect it at full size.
Follow the failure through the cascade

Prepare the hardware escalation

Ask for the evidence that is missing

Keep the investigation in the editor
