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Multi-Cloud AI Model Region Matrix

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Multi-Cloud AI Model Region Matrix

Multi-Cloud AI Model Region Matrix

Compare public AI model availability and deployment regions across Azure Foundry, AWS Bedrock, and Google Vertex AI. Get a normalized matrix for architecture, procurement, deployment planning, and data-residency review.

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from $0.005 / actor start

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Đăng Phạm

Đăng Phạm

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7 days ago

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Public-documentation data for Azure Foundry, Amazon Bedrock, and Google Vertex AI / Google Cloud generative-model endpoints. It returns normalized model–region relationships for infrastructure automation, architecture, procurement, and data-residency review.

Inputs: providers, optional exact models, regions, modelVendors, includeLifecycle, includeSourceMetadata, and bounded maxRows.

Output rows use recordType: model_region_availability with provider, model/version/vendor, region, deployment or inference scope, status, lifecycle dates where published, public source URL, and retrieval timestamp. AVAILABLE, UNAVAILABLE_EXPLICIT, LEGACY, DEPRECATED, and UNKNOWN are distinct. Missing documentation is never treated as unavailable.

Provider semantics remain provider-specific: Azure regional/global/data-zone deployment types, AWS In-Region/Geo/Global inference, and Vertex global endpoints are preserved rather than equated. The Actor reads public vendor documentation only; it uses no cloud account, model API call, browser profile, or credential.

Pricing is pay-per-event: USD 0.005 per Actor start plus USD 0.0005 per uniquely persisted availability row. Availability rows are charged only after successful persistence; failed fetches, retries, duplicates, provider summaries, parser/source failures, fixture data, and unpersisted rows are not charged. Platform usage is not passed through as a separate charge.

Freshness depends on vendor documentation and parser compatibility. This product reports public cloud-provider documentation and is not a guarantee of account-specific quota, entitlement, capacity or deployment success. It is not affiliated with Microsoft, Amazon, AWS, Google, or Google Cloud.