Workstation

Forensic Technical Intake: Enterprise Workstations

Target: High-Performance PC & AI Compute Systems

1. Primary Fault Classification

2. Device Condition & PCA Utility

Why we need this: We use Principal Component Analysis (PCA) to correlate your Primary AI Use Case with component fatigue. Workstations are modular; however, high-mass GPUs (like the RTX 5090) require verification against the Shield column for mm clearance to prevent motherboard torsion.

3. Power Infrastructure & Modular Safety

AI Technical Insight: Workstations pull massive transient loads via the **EPS12V** and **12VHPWR** connectors. If you notice “clicking” or “whining,” the modular PSU is likely suffering from capacitor aging, which prevents it from maintaining the stable voltage rails required for AI compute.

4. Thermal Path & Mechanical History

AI Technical Insight: Sustained AI workloads cause **Phase-Change Material (PCM) pump-out**. If your render speeds drop after 10 minutes, the thermal interface between the module and the heatsink has failed. We look for **AIO pump cavitation** (bubbling noises) which indicates fluid loss.

5. Previous Modular History

Why we need this: Since we specialize in **Modular Swaps** and not board repair, knowing if components (RAM/GPU/SSD) were recently swapped helps us isolate **Component Handshake** failures or PCIe lane conflicts.

6. Mandatory Packaging Compliance

IMPORTANT: Heavy workstations are prone to **PCIe Slot Shear** during transit. The responsibility for secure packing remains entirely with the customer. You MUST use internal expanding foam (Instapak) to brace the GPU and CPU modules. Standard bubble wrap will not prevent internal component displacement.
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