Build an AWS Neuron Spot Preemption Profiler
Simulate EC2 Inf2 and Trn1 accelerator spot preemption risks against open-source transformer batch workloads. Quantify interruption buffers and synthesize preemption tolerance reports.
What you are building
The core problem, expected build, and operating context for this challenge.
Simulate EC2 Inf2 and Trn1 accelerator spot preemption risks against open-source transformer batch workloads. Quantify interruption buffers and synthesize preemption tolerance reports.
Cloud Operations Procurement Specialist
Ingest workload batch concurrency requirements and historical spot availability SLA metrics.
Evaluate AWS Neuron EC2 instance types including inf2.xlarge and trn1.32xlarge spot interruption profiles.
Simulate batch failure rates and interruption risk buffers during peak serving hours.
Use hosted Claude via Anthropic API to synthesize an executive spot viability proposal.
Web scenario workbench with interactive slider controls for spot tolerance and reservation terms.
Construct a synthetic tabular catalog of AWS EC2 Neuron instance rates and monthly batch inference traffic profiles. Starter examples below are synthetic. They are not downloaded records.
AWS Neuron documentation Reference AWS Neuron accelerator families including Inferentia and Trainium instances (Inf2, Trn1).
anthropic, pydantic, pandas. anthropic-claude compiles scenario modeling metrics into executive business justifications and trade-off tables. Hosted Claude API for summarizing financial scenario models and drafting procurement recommendations.
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.
Calculates batch failure rates based on historical spot availability SLAs.
Models interruption risk buffers for spot instances during peak batch serving hours.
Outputs a structured viability recommendation matrix with interruption tolerance thresholds.
```json [ { "input": { "monthly_hours_needed": 720, "instance_family": "trn1.32xlarge", "spot_availability_sla": 0.85, "batch_tolerance_sla": 0.95 }, "expected_output": { "simulated_failure_rate": 0.15, "buffer_needed": 1.18, "recommended_strategy": "unsuitable_due_to_preemption_risk", "spot_viability": "FAIL" } }, { "input": { "monthly_hours_needed": 200, "instance_family": "inf2.8xlarge", "spot_availability_sla": 0.95, "batch_tolerance_sla": 0.9 }, "expected_output": { "simulated_failure_rate": 0.05, "buffer_needed": 1.05, "recommended_strategy": "spot_with_fallback", "spot_viability": "PASS" } } ] ```
Performs financial simulation only; does not execute binding EC2 reservation purchases or cloud API purchases. Use mock external writes. Require human review before any real deployment.
Participation guide
Performs financial simulation only; does not execute binding EC2 reservation purchases or cloud API purchases. Use mock external writes and human review.
How work is evaluated
Calculates batch failure rates based on historical spot availability SLAs. Models interruption risk buffers for spot instances during peak batch serving hours. Outputs a structured viability recommendation matrix with interruption tolerance thresholds.
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 workload batch concurrency requirements and historical spot availability SLA metrics. Evaluate AWS Neuron EC2 instance types including inf2.xlarge and trn1.32xlarge spot interruption profiles. Simulate batch failure rates and interruption risk buffers during peak serving hours. Use hosted Claude via Anthropic API to synthesize an executive spot viability proposal.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Calculates batch failure rates based on historical spot availability SLAs. Models interruption risk buffers for spot instances during peak batch serving hours. Outputs a structured viability recommendation matrix with interruption tolerance thresholds.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Web scenario workbench with interactive slider controls for spot tolerance and reservation terms.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Performs financial simulation only; does not execute binding EC2 reservation purchases or cloud API purchases.
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 workload batch concurrency requirements and historical spot availability SLA metrics.
Evaluate AWS Neuron EC2 instance types including inf2.xlarge and trn1.32xlarge spot interruption profiles.
Simulate batch failure rates and interruption risk buffers during peak serving hours.
Use hosted Claude via Anthropic API to synthesize an executive spot viability proposal.
Reference links and supporting material
Construct a synthetic tabular catalog of AWS EC2 Neuron instance rates and monthly batch inference traffic profiles. 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.
- Ingest workload batch concurrency requirements and historical spot availability SLA metrics. Evaluate AWS N...
- Calculates batch failure rates based on historical spot availability SLAs. Models interruption risk buffers...
- Web scenario workbench with interactive slider controls for spot tolerance and reservation terms.
- 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
- 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.