Build an Accelerator Chassis Thermal Incident Root-Cause Diagnoser

Analyze multi-sensor thermal logs during server shutdown events to reconstruct thermal runaway sequences. Generate hardware engineer post-mortem summaries and facility air-balance tasks using hosted Claude.

Datacenter Hardware Reliability Specialist

Ingest high-frequency sensor streams tracking intake temperature, exhaust delta, and per-card junction temperatures.

Detect abnormal temperature gradient rates and identify the initial failing component.

Prompt hosted Claude to synthesize a formal hardware failure post-mortem and inspection steps.

Package diagnostic conclusions into a review dossier for facility HVAC and technician teams.

Interactive timeline viewer displaying thermal gradient curves, component failure markers, and an audit report preview.

Create synthetic CSV logs simulating an 8-GPU chassis thermal runaway scenario with exhaust and junction metrics. Starter examples below are synthetic. They are not downloaded records.

NVIDIA DCGM exporter Adopts DCGM junction temperature and memory temperature counters to trace localized thermal spikes.

anthropic, pydantic-ai, pandas. anthropic-claude excels at correlating disparate multi-sensor anomalies into concise post-mortem findings. Hosted Claude API for structured report compilation; pandas locally for metric gradients.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Pinpoint the exact timestamp and GPU index of the initial thermal trip.

Produce actionable inspection recommendations targeting physical heatsinks and fans.

Ensure all output dossiers clearly delineate confirmed observations from suggested root causes.

```json [ { "input": { "chassis_id": "rack-12-u3", "incident_time": "2025-02-10T14:30:00Z", "sensor_readings": [ { "gpu_id": 0, "junction_temp": 81, "memory_temp": 75 }, { "gpu_id": 1, "junction_temp": 105, "memory_temp": 99 }, { "gpu_id": 2, "junction_temp": 82, "memory_temp": 76 } ] }, "expected_output": { "primary_fault_device": "GPU-1", "critical_threshold_exceeded": true, "hypothesized_cause": "Localized thermal paste degradation or liquid cooling plate blockage on GPU-1", "immediate_task": "Reseat GPU-1 cold plate and verify thermal interface material integrity." } }, { "input": { "chassis_id": "rack-12-u4", "incident_time": "2025-02-10T15:00:00Z", "sensor_readings": [ { "gpu_id": 0, "junction_temp": 70, "memory_temp": 68 }, { "gpu_id": 1, "junction_temp": 71, "memory_temp": 69 } ] }, "expected_output": { "primary_fault_device": null, "critical_threshold_exceeded": false, "hypothesized_cause": "Nominal operations, no thermal runaway detected", "immediate_task": "Continue standard telemetry monitoring." } } ] ```

Read-only telemetry analysis; does not interact with datacenter control loops or physical power switches. Use mock external writes. Require human review before any real deployment.