Data Center & AI Infrastructure Assessments

Test operational reliability
before they touch your racks

Parium simulates real-world data center operations failures across GPU fleets, power distribution, and hardware infrastructure. Evaluate how candidates respond to hardware instability and live production risk.

No vendor trivia. No whiteboard diagrams. Just real operational decision-making.

Simulated infrastructure. Real operational pressure.

Candidates enter a scenario modeled on real data center environments. They must diagnose failures, follow escalation protocols, and verify restoration while telemetry updates in real time.

Rack-level visualization Live GPU telemetry Power monitoring SOP documentation
RACK A-07 · 42U DEGRADED
U42 gpu-node-01 · 8x H100
U40 gpu-node-02 · 8x H100
U38 gpu-node-03 · 8x H100
U36 gpu-node-04 · 8x H100
U34 network-sw-01 · TOR
U32 gpu-node-05 · 8x H100
U30 gpu-node-06 · 8x H100
U28 storage-ctrl-01
U26 pdu-monitor-01
FEED A
18.4 kW / 21 kW
FEED B
13.1 kW / 21 kW
tech@rack-a07:~$ nvidia-smi
NVIDIA-SMI has failed because it couldn't communicate
with the NVIDIA driver. Make sure that the latest
NVIDIA driver is installed and running.
tech@rack-a07:~$ dmesg | grep -i nvidia | tail -5
[847263.421] NVRM: Xid (PCI:0000:3b:00): 79, pid=0
[847263.421] NVRM: GPU has fallen off the bus
[847263.422] NVRM: GPU 0000:3b:00.0: GPU has fallen off the bus
tech@rack-a07:~$ lspci | grep -i nvidia
3b:00.0 3D controller: NVIDIA H100 (rev a1)
86:00.0 3D controller: NVIDIA H100 (rev a1)
tech@rack-a07:~$ |
SOP GPU-PCIe-001
GPU PCIe Error Recovery
1
Verify error in dmesg
dmesg | grep -i nvidia
2
Check nvidia-smi status
nvidia-smi -q
3
Verify PCIe link status
lspci -vvv -s 3b:00.0
4
Attempt driver reload
modprobe -r nvidia && modprobe nvidia
5
Escalate if persists
Hardware team · Physical reseat required
P1 ACTIVE
GPU Node Failure - PCIe Error
INC-DC-2026-GPU-079
Affected Nodes
3 / 6
GPU Temp (Max)
84°C
Cluster Capacity
58%
Impact
$38k/hr
Affected Hardware 3 nodes
gpu-node-01 · Xid 79 PCIe error
gpu-node-02 · Thermal throttling
gpu-node-05 · ECC errors detected

Telemetry updates as candidates diagnose and remediate

20min
Average scenario time
2-3
Root causes per scenario
L1-L3
Tiered assessments

Structured to evaluate both procedural compliance and systems thinking.

Reliability is discipline under pressure

We measure how candidates diagnose hardware failures, follow escalation protocols, and maintain operational safety under production conditions.

Diagnostic Methodology

30%
  • Do they isolate the failure domain?
  • Do they distinguish hardware vs software?
  • Do they check telemetry before intervention?
+ Checked dmesg before action + Verified PCIe enumeration - Rebooted without diagnosis

Operational Safety

25%
  • No unsafe power actions
  • Proper isolation before replacement
  • Compliance with SOP
+ Followed escalation path + Verified redundancy state - Bypassed safety protocol

Root Cause Accuracy

25%
  • Did they identify the actual hardware failure?
  • Did they detect contributing factors?
  • Did they verify state after fix?
+ Identified Xid 79 error + Found driver conflict - Missed thermal issue

Efficiency & Escalation

20%
  • Appropriate escalation timing
  • Avoiding overreaction
  • Clear decision sequencing
+ Resolved in 18 minutes + Escalated at right time - Unnecessary cluster drain

Hire data center technicians with scenario-based assessments

Each scenario is calibrated for the complexity and autonomy expected at that tier. L1 tests runbook compliance, L3 tests expert-level GPU cluster operations and hardware diagnostics.

L3 Expert 20 minutes

GPU Driver Failure

2x GPUs offline due to driver conflict. Candidates must use lspci to confirm hardware, check loaded kernel modules, identify driver conflicts, and safely restore GPU functionality.

GPU diagnostics Kernel modules Driver management
L2 Intermediate 18 minutes

Critical Disk Space Incident

Service down due to full disk. Candidates must investigate log directories, identify oversized files, safely clean space while preserving required logs, and restore service. Tests independent triage.

Disk analysis Log management Safe cleanup
L1 Entry 12 minutes

API Gateway Configuration Error

Service failing health checks due to malformed config file. Tests basic Linux navigation, file editing, service restart procedures, and verification. Includes detailed runbook to follow.

File navigation Config editing Runbook following

Mirror your facility

We replicate your rack topology, GPU configuration, cooling model, redundancy architecture, and escalation structure. Designed to reflect real operational risk.

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Operational reliability evidence

Each assessment produces a structured report suitable for both technical leads and HR review. Designed for data center operations hiring at scale.

Decision timeline

See when each diagnostic step was taken and how long it took to reach conclusions.

Escalation timing analysis

Did they escalate at the right time? Too early? Too late?

SOP compliance scoring

Quantified adherence to standard operating procedures and runbooks.

Safety violation flags

Any unsafe power actions, bypassed safeguards, or protocol violations.

Hardware fault isolation accuracy

Did they correctly identify the failure domain and root cause?

Candidate comparison

Side-by-side benchmarking across multiple candidates on the same scenario.

What traditional data center interviews miss

Traditional Interviews

  • "Tell me about a hardware failure"
  • Whiteboard redundancy diagrams
  • Vendor-specific trivia questions
  • Reference-based evaluation
  • No operational simulation

Parium Assessments

  • Live rack simulation
  • Real telemetry interpretation
  • GPU and PCIe diagnostics
  • Escalation judgment testing
  • Measured operational discipline

Common questions

Does this replace hands-on rack work?

No. It evaluates decision-making before physical intervention. You still need to assess physical skills separately.

Can this differentiate L1, L2, and L3?

Yes. Scenarios scale in complexity and autonomy expectations. L1 tests runbook following, L2 tests independent triage, L3 tests expert diagnostics.

Can we replicate our GPU architecture?

Yes. We model your specific hardware configurations and custom GPU clusters.

Does this simulate AI cluster risk?

Yes. Scenarios include training-load stress, GPU failure cascades, thermal imbalance, and power redundancy risk.

Test operational reliability before they touch your infrastructure

Run the assessment yourself and see how candidates handle hardware failures under pressure.

Run a Demo Scenario Also hiring SREs?