# Pricing transcribed from the provider's own page — see provenance. Numbers are quoted, not derived. generated: '2026-10-07' method: searched source: https://aws.amazon.com/lookout-for-equipment/pricing/ sources: - https://aws.amazon.com/lookout-for-equipment/pricing/ provenance: tool: all/0-working/economics/harvest_pricing.py run: 20261007T104522 grounding: every price_text was found verbatim in the fetched page text audience: developer-api pricing_basis: usage-other delivery: delivery: managed method: page read: '2026-10-07' published: true note: Usage-based pricing for ingestion, training, and inference hours, plus a first-month free trial. Volume discounts above 100 assets require contacting an AWS account manager. plan_count: 3 currency: USD plans: - name: Data Ingestion price_text: $0.20 per GB price: 0.2 currency: USD period: per-use unit: GB ingested included_quota: 'Free trial: Up to 50 GB data ingestion in first month' - name: Model Training price_text: $0.24 per training hour price: 0.24 currency: USD period: per-use unit: training hour included_quota: 'Free trial: Up to 250 training hours' - name: Scheduled Inference price_text: $0.25 per inference hour price: 0.25 currency: USD period: per-use unit: inference hour included_quota: 'Free trial: Up to 168 hours of scheduled inference' rate_limit_statements: - you can use data from up to 300 sensors to train one model - All model training jobs are charged for a minimum of one hour of elapsed time and then prorated to the nearest second x-canonical: generated: '2026-10-08' vocabulary: all/0-working/economics/plans-canonical.yml models: - hybrid units: - compute - data plans: - name: Data Ingestion access: other model: hybrid model_how: derived units: - data periods: - other - name: Model Training access: other model: hybrid model_how: derived units: - compute periods: - other - name: Scheduled Inference access: other model: hybrid model_how: derived units: - compute periods: - other