AWS publishes tutorial for multi-environment access configuration on Claude Platform
What happened
On 2 October 2026, the AWS Machine Learning Blog published a tutorial on configuring multi-environment access for Claude Platform on AWS. Aimed at Claude Platform on AWS (CPonAWS), the article proposes a three-account architecture based on a dedicated AI Services account, enabling three inference access methods: AWS workloads call keylessly via cross-account SigV4, developer notebooks use long-term API keys bound to a development workspace, and external environments obtain short-term credentials through OIDC federation. This report is a primary source, with no figures or claims contradicting earlier reporting, and the current development is the public description of this configuration approach.
Written by AI from the reports · updated 23 min ago
Timeline
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- AWS Machine Learning BlogImplementing Multi-Environment Access for Claude Platform on AWS
You need Claude Platform on AWS (CPonAWS) inference from three environments: production workloads on AWS, developer laptops for local iteration, and external services on other cloud providers or on-premises continuous integration and continuous delivery (CI/CD) pipelines.
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