Build a Multi-GPU Interconnect Fabric Degradation Triage Engine
Parse normalized DCGM interconnect error counters to diagnose link degradation. Generate technician remediation itineraries and isolation steps using hosted Claude.
What you are building
The core problem, expected build, and operating context for this challenge.
Parse normalized DCGM interconnect error counters to diagnose link degradation. Generate technician remediation itineraries and isolation steps using hosted Claude.
Cluster Reliability Engineer
Ingest DCGM fabric and link error metrics, including replay counters and uncorrectable error registers.
Identify specific PCIe or NVLink lane degradations causing collective communication tail latency.
Prompt hosted Claude to interpret error bitmasks and generate precise physical cable reseating instructions.
Publish an interconnect triage manifest detailing faulted link endpoints and repair steps.
Topology map CLI that highlights faulted interconnects and prints field repair instructions.
Synthetic node interconnect metrics with normalized DCGM error counters across multi-GPU topological meshes. Starter examples below are synthetic. They are not downloaded records.
NVIDIA DCGM exporter Employs DCGM exporter fabric error metric principles (NVLink and PCIe replay counters) to pinpoint link failures.
crewai, anthropic. CrewAI coordinates specialized software agent roles: a telemetry parser agent and a hardware repair synthesis agent. Hosted a currently available hosted Claude model for fabric diagnostic reasoning; local system processes fabric counter logs.
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 asymmetric link error distributions between GPU pairs.
Isolates damaged lanes and physical socket positions.
Generates hardware technician physical repair checklists via hosted Claude.
```json [ { "input": { "node_id": "compute-dgx-12", "gpu_source": 1, "gpu_target": 2, "link_type": "NVLink", "replay_errors_per_sec": 45000, "uncorrectable_errors": 2 }, "expected_output": { "link_status": "DEGRADED", "impact": "Severe bandwidth throttling on GPU 1-2 communications.", "remediation_action": "Schedule node maintenance, drain workloads, and reseat NVLink bridge connecting GPU 1 and GPU 2." } }, { "input": { "node_id": "compute-dgx-04", "gpu_source": 0, "gpu_target": 1, "link_type": "NVLink", "replay_errors_per_sec": 0, "uncorrectable_errors": 0 }, "expected_output": { "link_status": "HEALTHY", "impact": "Nominal throughput across interconnect mesh.", "remediation_action": "No hardware intervention required." } } ] ```
Read-only fabric counter analysis; does not issue live IPMI chassis commands or unbind driver devices. Use mock external writes. Require human review before any real deployment.
Participation guide
Read-only fabric counter analysis; does not issue live IPMI chassis commands or unbind driver devices. Use mock external writes and human review.
How work is evaluated
Detects asymmetric link error distributions between GPU pairs. Isolates damaged lanes and physical socket positions. Generates hardware technician physical repair checklists via hosted Claude.
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 DCGM fabric and link error metrics, including replay counters and uncorrectable error registers. Identify specific PCIe or NVLink lane degradations causing collective communication tail latency. Prompt hosted Claude to interpret error bitmasks and generate precise physical cable reseating instructions. Publish an interconnect triage manifest detailing faulted link endpoints and repair steps.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Detects asymmetric link error distributions between GPU pairs. Isolates damaged lanes and physical socket positions. Generates hardware technician physical repair checklists via hosted Claude.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Topology map CLI that highlights faulted interconnects and prints field repair instructions.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Read-only fabric counter analysis; does not issue live IPMI chassis commands or unbind driver devices.
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 DCGM fabric and link error metrics, including replay counters and uncorrectable error registers.
Identify specific PCIe or NVLink lane degradations causing collective communication tail latency.
Prompt hosted Claude to interpret error bitmasks and generate precise physical cable reseating instructions.
Publish an interconnect triage manifest detailing faulted link endpoints and repair steps.
Reference links and supporting material
Synthetic node interconnect metrics with normalized DCGM error counters across multi-GPU topological meshes. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
crewAI
Multi-agent orchestration framework
Evaluated output
No output checks are configured.
- Ingest DCGM fabric and link error metrics, including replay counters and uncorrectable error registers. Ide...
- Detects asymmetric link error distributions between GPU pairs. Isolates damaged lanes and physical socket p...
- Topology map CLI that highlights faulted interconnects and prints field repair instructions.
- 2 public reference cases
- 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
- crewAI · 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.