OpenAI models, Codex, and Managed Agents come to AWS

· Source: OpenAI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

On April 28, 2026, OpenAI and AWS announced an expanded strategic partnership, making OpenAI capabilities directly accessible within AWS environments. This collaboration introduces three key offerings in limited preview: OpenAI models, including GPT-5.5, on Amazon Bedrock; Codex on AWS, powered by OpenAI models served from Bedrock; and Amazon Bedrock Managed Agents, also powered by OpenAI. These integrations allow AWS customers to utilize OpenAI's frontier models, coding agents, and advanced agentic workflows while adhering to their existing AWS security protocols, compliance requirements, and procurement processes. The initiative aims to streamline the path from AI experimentation to production for enterprises, enabling them to build new AI applications, embed intelligence into products, and deploy sophisticated agents for complex business processes within their familiar AWS infrastructure.

Key takeaway

For CTOs and VPs of Engineering evaluating AI adoption, this expanded partnership simplifies integrating OpenAI's advanced models and agents into your existing AWS infrastructure. You can now deploy frontier models like GPT-5.5, leverage Codex for software development, and build sophisticated agents with Bedrock Managed Agents, all while maintaining AWS's security, compliance, and procurement standards. This offers a clear, secure path to scale AI initiatives from prototype to production within your familiar cloud environment.

Key insights

OpenAI models, Codex, and Managed Agents are now available directly within AWS environments via Amazon Bedrock.

Principles

Method

Customers configure Codex or Bedrock Managed Agents to use Amazon Bedrock as the provider, enabling OpenAI model access within AWS's security and billing framework.

In practice

Topics

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

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.