Single-Region inference can throttle when demand exceeds local capacity. Teams in Thailand, Malaysia, Singapore, Indonesia, and Taiwan need access to the newest OpenAI models beyond that capacity. Amazon Bedrock offers OpenAI GPT-6 Sol and GPT-6 Luna through global cross-Region inference from all five AWS Regions, and GPT-6 Astra from Asia Pacific (Singapore). This post shows you how to configure the call, set permissions, and monitor inference from your source Region.
GPT-6 Sol, GPT-6 Luna, and GPT-6 Astra are all available through global cross-Region inference from the preceding Regions, on the bedrock-runtime endpoint. See Cross-Region inference in the Amazon Bedrock User Guide. For the full list of source and destination Regions in each profile, see Supported Regions and models for inference profiles.
In this post, we introduce the global cross-Region inference profiles and invoke them from Asia Pacific (Singapore) using the Converse API, the OpenAI-compatible APIs, and coding clients. We then cover the AWS Identity and Access Management (IAM) and service control policy (SCP) configuration, quota management, and monitoring.
The GPT-6 family offers three models, each available through global cross-Region inference.
All three accept text and image input, client-side tool use, and prompt caching. They differ on reasoning effort. GPT-6 Sol and GPT-6 Luna accept none, low, medium, high, xhigh, and max. GPT-6 Astra accepts the same levels except none. For GPT-6 Sol and GPT-6 Luna, see Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock . For GPT-6 Astra, see Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock .
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