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Accessing OpenAI models on Amazon Bedrock from Australia with global cross-Region inference

2026-09-03 05:22 Models 🔥 38.3 heat score
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On September 2, 2026, Amazon Web Services (AWS) announced on its machine learning blog that Australian teams can access the latest OpenAI models through Amazon Bedrock, including GPT-5.6 Sol, Terra, and Luna. This service supports global cross-regional inference from the Asia Pacific (Sydney) and Asia Pacific (Melbourne) regions. Application calls are made to Amazon Bedrock Runtime endpoints in Sydney or Melbourne, and Amazon Bedrock routes the requests to supported commercial AWS regions, allowing access to a wider capacity pool without managing target region routing. GPT-5.6 Sol is suitable for high-demand inference, coding, and agent workloads; Terra balances performance and cost, making it suitable for daily production use; Luna provides high-performance, low-latency, and affordable inference services, suitable for high-throughput applications. All three models accept text and image inputs, generate text, and support up to…

Related eventsRELATED EVENTS
Key entitiesKEY ENTITIES
Amazon BedrockGPT-5.6 SolLunaOpenAITerra

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
Amazon Bedrock × GPT-5.…1Amazon Bedrock × Luna1Amazon Bedrock × OpenAI1Amazon Bedrock × Terra1GPT-5.6 Sol × Luna1GPT-5.6 Sol × OpenAI1

SignalsSIGNALS

Keyword heat
  • OpenAI1
  • Amazon Bedrock1
  • GPT-5.6 Sol1
  • Terra1
  • Luna1

All reports (1)SOURCES

A AWS ML Blog en 2026-09-03 05:22

Accessing OpenAI models on Amazon Bedrock from Australia with global cross-Region inference

The Australian team can access the latest OpenAI GPT-5.6 Sol, Terra, and Luna models through Amazon Bedrock, supporting global cross-regional inference from the Asia-Pacific (Sydney) and Asia-Pacific (Melbourne) regions. The application calls Amazon Bedrock Runtime endpoints in Sydney or Melbourne, which are routed by Amazon Bedrock to supported commercial AWS regions to process requests, allowing for access to a wider capacity pool without managing target region routing. GPT-5.6 Sol is suitable for high-demand inference, coding, and agent workloads; Terra balances performance and cost, making it ideal for daily production use; Luna provides high-performance, low-latency, and affordable inference services, suitable for high-throughput applications. All three models accept text and image inputs, generate text, and support context windows of up to 1 million tokens.