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Challenge

Build a Thermal Throttling Incident Playbook and Workload Evacuation Planner

Monitor continuous temperature telemetry from DCGM metrics to detect localized hot spots. Plan progressive workload evacuation from overheating chassis to prevent ungraceful job failures.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Monitor continuous temperature telemetry from DCGM metrics to detect localized hot spots. Plan progressive workload evacuation from overheating chassis to prevent ungraceful job failures.

HPC Systems Administrator

Process simulated DCGM thermal and power telemetry streams across rack enclosures.

Detect persistent thermal spikes exceeding safe operating margins.

Prompt hosted Claude to synthesize evacuation playbooks and rank recipient target nodes.

Construct an executable migration plan with container checkpointing checkpoints.

Terminal dashboard showing rack-level thermal contours and interactive workload evacuation action cards.

Generate synthetic multi-node DCGM metrics including GPU temperature, memory temperature, and power draw under load. Starter examples below are synthetic. They are not downloaded records.

NVIDIA DCGM exporter Extracts DCGM thermal metric structures and device status flags to identify hardware cooling failure modes.

anthropic-claude, pydantic-ai, mlflow. Reasons over complex thermal incident progressions and formulates prioritized workload draining instructions. Hosted Claude API for synthesizing evacuation playbooks and assessing cooling risk. Local models restricted to open weights.

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.

Detects thermal anomaly patterns 5 minutes prior to simulated critical thermal shutdown.

Generates evacuation plans ordering jobs by SLA criticality and checkpoint overhead.

Validates target node thermal headroom before assigning migrated workloads.

```json [ { "input": { "chassis_id": "chassis-08", "sensors": { "intake_temp_c": 34.5, "gpu0_temp_c": 88, "gpu1_temp_c": 89.5 }, "active_tasks": [ { "task_id": "train-job-4", "gpu_count": 2, "priority": "high", "checkpoint_ready": true } ] }, "expected_output": { "evacuation_required": true, "urgency": "immediate", "target_chassis": "chassis-02", "evacuation_sequence": [ "Pause task train-job-4", "Commit state checkpoint", "Drain chassis-08", "Resume on chassis-02" ], "operator_alert": "Suspected chassis intake airflow restriction" } }, { "input": { "chassis_id": "chassis-01", "sensors": { "intake_temp_c": 22, "gpu0_temp_c": 62, "gpu1_temp_c": 64 }, "active_tasks": [ { "task_id": "inference-prod", "gpu_count": 1, "priority": "critical", "checkpoint_ready": false } ] }, "expected_output": { "evacuation_required": false, "urgency": "nominal", "target_chassis": null, "evacuation_sequence": [], "operator_alert": "Normal thermal envelope" } } ] ```

Simulation and guidance only; does not send shutdown signals or adjust physical chiller controls. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Simulation and guidance only; does not send shutdown signals or adjust physical chiller controls. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Detects thermal anomaly patterns 5 minutes prior to simulated critical thermal shutdown. Generates evacuation plans ordering jobs by SLA criticality and checkpoint overhead. Validates target node thermal headroom before assigning migrated workloads.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Process simulated DCGM thermal and power telemetry streams across rack enclosures. Detect persistent thermal spikes exceeding safe operating margins. Prompt hosted Claude to synthesize evacuation playbooks and rank recipient target nodes. Construct an executable migration plan with container checkpointing checkpoints.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Detects thermal anomaly patterns 5 minutes prior to simulated critical thermal shutdown. Generates evacuation plans ordering jobs by SLA criticality and checkpoint overhead. Validates target node thermal headroom before assigning migrated workloads.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Terminal dashboard showing rack-level thermal contours and interactive workload evacuation action cards.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Simulation and guidance only; does not send shutdown signals or adjust physical chiller controls.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Process simulated DCGM thermal and power telemetry streams across rack enclosures.

  • Detect persistent thermal spikes exceeding safe operating margins.

  • Prompt hosted Claude to synthesize evacuation playbooks and rank recipient target nodes.

  • Construct an executable migration plan with container checkpointing checkpoints.

Resources and assets

Reference links and supporting material

Dataset notes

Generate synthetic multi-node DCGM metrics including GPU temperature, memory temperature, and power draw under load. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Anthropic Claude

LLM for code generation & more

Evaluated output

No output checks are configured.

Evaluation checks
  • Process simulated DCGM thermal and power telemetry streams across rack enclosures. Detect persistent therma...
  • Detects thermal anomaly patterns 5 minutes prior to simulated critical thermal shutdown. Generates evacuati...
  • Terminal dashboard showing rack-level thermal contours and interactive workload evacuation action cards.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 1 configured tool

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Anthropic Claude · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Thermal Throttling Incident Playbook and Workload Evacuation Planner