OpenAI models now available on Amazon Web Services

2026-06-02 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

OpenAI's GPT-5.5 and GPT-5.4 language models, alongside its Codex coding tool, are now accessible via Amazon Web Services (AWS) through Amazon Bedrock. This integration, announced on June 2, 2026, extends availability to both commercial and GovCloud regions, though initially limited to US-based regions. Specifically, GPT-5.5 is live in one US region, while GPT-5.4 is available in two. Pricing for these models on AWS matches OpenAI's direct rates, incurring no additional fees, and usage contributes to existing AWS contracts. The models leverage Bedrock's new inference engine, and Codex functions through its dedicated app, command line, and IDE integrations. All requests are routed through Amazon Bedrock, benefiting from AWS security features such as IAM, VPC isolation, and encryption.

Key takeaway

For AI Architects and MLOps Engineers managing cloud infrastructure, the availability of OpenAI's GPT-5.5, GPT-5.4, and Codex on AWS Bedrock simplifies integration. You can now deploy these models within your existing AWS environment, leveraging familiar security features like IAM and VPC isolation. This allows you to consolidate billing and governance under your current AWS contracts, streamlining operational overhead. Consider migrating existing OpenAI API integrations to Bedrock for enhanced security and unified management.

Key insights

OpenAI's GPT-5.5, GPT-5.4, and Codex are now available on AWS Bedrock, integrating with existing AWS infrastructure and security.

Principles

• Direct OpenAI pricing applies.
• Usage counts toward AWS contracts.
• AWS security features cover requests.

Method

Models run on Bedrock's new inference engine. Codex works via its app, command line, and IDE integrations, with all requests routing through Bedrock.

In practice

• Access GPT-5.5 and GPT-5.4 via Bedrock.
• Integrate Codex into existing IDEs.
• Utilize AWS security for OpenAI models.

Topics

• OpenAI Models
• Amazon Bedrock
• AWS GovCloud
• Large Language Models
• AI Inference
• Cloud Security

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, MLOps Engineer, AI Architect

Related on AIssential

• Perplexity announces hybrid AI system that decides what runs locally or in the cloud — Perplexity's hybrid AI orchestrator intelligently routes tasks between local and cloud models for optimal privacy and efficiency.
• Codex Isn’t Just for Coders Anymore. OpenAI Is Coming for the Entire Office. — The expanding non-developer use of Codex is driving OpenAI's release of new enterprise features.
• Inside Google’s System for Coordinated A/B Testing Across Its Global Service Fleet — Google's system standardizes large-scale A/B testing across distributed services, ensuring statistical rigor and minimizing interference.
• Article: Two Misconfigurations That Caused Spark OOM Failures on Kubernetes — Cloud migrations can introduce silent infrastructure misconfigurations that cause Spark OOM failures under production load.
• You Can Finally Build Your Own LLM. Here’s Why You Probably Shouldn’t. — The build-versus-buy decision for LLMs is primarily an arithmetic problem, often favoring API rental over self-hosting.
• Introducing workspaces for Lambda Cloud — Lambda Cloud "workspaces" provide logical containers for GPU resources, enhancing access control and environment separation.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.