Introducing the Claude Platform on AWS

· Source: Claude Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Robotics & Autonomous Systems · Depth: Intermediate, short

Summary

The Claude Platform on AWS is now generally available as of May 11, 2026, providing AWS customers with direct access to the full suite of Claude Platform features. This integration allows for AWS authentication via IAM, audit logging through CloudTrail, and consolidated billing that retires against existing AWS commitments. Customers can deploy agents at scale using Claude Managed Agents, utilize tools like code execution, skills, and the advisor strategy, and access features such as web search, web fetch, Files API, prompt caching, citations, and batch processing. The offering includes Claude Opus 4.7, Sonnet 4.6, and Haiku 4.5, with new models becoming available on launch day. This platform is distinct from Claude on Amazon Bedrock, where AWS acts as the data processor, offering the complete native Claude API experience with Anthropic operating the service.

Key takeaway

For CTOs and VP of Engineering evaluating AI platform integrations, the Claude Platform on AWS offers a direct path to the full native Claude API feature set, including advanced agent capabilities and day-one access to new models, while leveraging existing AWS authentication and billing. This simplifies management and ensures feature parity, but be aware that Anthropic operates the service and data is processed outside the AWS boundary, which differs from Claude on Amazon Bedrock's data residency model.

Key insights

The Claude Platform on AWS offers full native Claude API features with AWS integration for authentication, billing, and agent deployment.

Principles

Method

Access the Claude Platform on AWS using existing AWS credentials and IAM policies, then deploy agents with Claude Managed Agents and utilize tools like code execution and web search.

In practice

Topics

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

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Editorial summary, takeaway, and curation by AIssential. Original article published by Claude Blog.