Build an Accelerator Chassis Power Budget and Throttling Reviewer
Correlate server chassis electrical power caps with per-device DCGM utilization logs. Formulate dynamic power balancing schedules and throttling prevention plans using hosted Claude.
What you are building
The core problem, expected build, and operating context for this challenge.
Correlate server chassis electrical power caps with per-device DCGM utilization logs. Formulate dynamic power balancing schedules and throttling prevention plans using hosted Claude.
Datacenter Power and Facilities Engineer
Ingest rack PDU power limits and per-accelerator DCGM power consumption telemetry using pandas.
Detect electrical headroom deficits where total peak draw risks tripping rack-level circuit breakers.
Invoke hosted Claude via Anthropic API to synthesize power cap balancing proposals across non-critical workers.
Generate a structured power allocation manifest detailing per-GPU watt limits validated via pydantic.
Dashboard visualizing rack power envelope utilization and Claude-recommended power capping profiles.
Simplified synthetic app records representing power telemetry logs from server PDUs and DCGM metrics across 8-accelerator chassis. Starter examples below are synthetic. They are not downloaded records.
NVIDIA DCGM exporter Extracts DCGM power metrics (DCGM_FI_DEV_POWER_USAGE) and hardware power limit registers.
dspy, anthropic, pandas, pydantic. DSPy compiles robust prompt pipelines to guarantee hosted Claude produces schema-compliant power allocation limits. Hosted a currently available hosted Claude model accessed via official SDK; does not emit live electrical breaker or firmware commands.
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.
Identifies potential PDU overload conditions when peak sum exceeds rack threshold.
Calculates balanced power allocation across active server chassis.
Produces hosted Claude explanations for selected power capping setpoints.
```json [ { "input": { "pdu_max_kw": 12, "chassis_count": 4, "unconstrained_peak_kw": 14.5, "priority_chassis_index": 0 }, "expected_output": { "breaker_trip_risk": true, "recommended_chassis_caps_kw": [ 4, 2.6, 2.6, 2.6 ], "total_budget_kw": 11.8, "allocation_rationale": "Chassis 0 maintained at peak demand for SLA compliance; remaining chassis capped to prevent PDU overload." } }, { "input": { "pdu_max_kw": 12, "chassis_count": 4, "unconstrained_peak_kw": 9.2, "priority_chassis_index": 0 }, "expected_output": { "breaker_trip_risk": false, "recommended_chassis_caps_kw": [ 3.5, 2.5, 2, 1.2 ], "total_budget_kw": 9.2, "allocation_rationale": "Operating load is well within the 12 kW PDU envelope. No power capping required." } } ] ```
Provides advisory power capping allocations; does not issue live IPMI power cap updates. Use mock external writes. Require human review before any real deployment.
Participation guide
Provides advisory power capping allocations; does not issue live IPMI power cap updates. Use mock external writes and human review.
How work is evaluated
Identifies potential PDU overload conditions when peak sum exceeds rack threshold. Calculates balanced power allocation across active server chassis. Produces hosted Claude explanations for selected power capping setpoints.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest rack PDU power limits and per-accelerator DCGM power consumption telemetry using pandas. Detect electrical headroom deficits where total peak draw risks tripping rack-level circuit breakers. Invoke hosted Claude via Anthropic API to synthesize power cap balancing proposals across non-critical workers. Generate a structured power allocation manifest detailing per-GPU watt limits validated via pydantic.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Identifies potential PDU overload conditions when peak sum exceeds rack threshold. Calculates balanced power allocation across active server chassis. Produces hosted Claude explanations for selected power capping setpoints.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Dashboard visualizing rack power envelope utilization and Claude-recommended power capping profiles.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Provides advisory power capping allocations; does not issue live IPMI power cap updates.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest rack PDU power limits and per-accelerator DCGM power consumption telemetry using pandas.
Detect electrical headroom deficits where total peak draw risks tripping rack-level circuit breakers.
Invoke hosted Claude via Anthropic API to synthesize power cap balancing proposals across non-critical workers.
Generate a structured power allocation manifest detailing per-GPU watt limits validated via pydantic.
Reference links and supporting material
Simplified synthetic app records representing power telemetry logs from server PDUs and DCGM metrics across 8-accelerator chassis. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
DSPy
Prompt and LM program optimization framework.
Evaluated output
No output checks are configured.
- Ingest rack PDU power limits and per-accelerator DCGM power consumption telemetry using pandas. Detect elec...
- Identifies potential PDU overload conditions when peak sum exceeds rack threshold. Calculates balanced powe...
- Dashboard visualizing rack power envelope utilization and Claude-recommended power capping profiles.
- 2 public reference cases
- 3 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
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Configured tools
- DSPy · Optional
- DSPy · Optional
- DSPy · 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.