AWS Bedrock Expands Claude Access to India with Global Cross-Region Inference

Hey there, tech enthusiasts! We've got exciting news from the world of AI, especially for those building generative AI applications in India. Amazon Bedrock is leveling up its offerings, introducing Global cross-Region inference (CRIS) for customers in India, making Anthropic’s powerful Claude models more accessible and resilient than ever before.

What it does

Amazon Bedrock now proudly offers Anthropic’s Claude Opus 4.6, Claude Sonnet 4.6, and Claude Haiku 4.5 models to its customers operating in India. These aren't just any models; they come with a massive 1-million token context window and advanced agentic capabilities, enabling your applications to tackle vast datasets and complex workflows with impressive speed and intelligence.

The magic behind this expanded access is Global cross-Region inference (CRIS). This innovative feature allows organizations to seamlessly distribute inference processing across multiple AWS Regions. For customers in India using the ap-south-1 (Mumbai) and ap-south-2 (Hyderabad) AWS Regions, CRIS routes API requests to available commercial AWS Regions globally for inference. This is managed through "Inference profiles" – for example, you'd use global.anthropic.claude-opus-4-6-v1 for Claude Opus 4.6. This clever routing means you're not limited to local capacity, opening up a world of possibilities for your AI applications. To dive deeper into the technical details, check out the AWS Blog Post on Claude Models in India on Amazon Bedrock.

Why it matters

This enhancement is a game-changer for several reasons. Global CRIS helps achieve higher throughput, significantly improved resiliency, and reduced operational complexity for your generative AI workloads. For businesses in India, this is particularly impactful, especially during peak demand seasons like Diwali shopping surges, tax filing deadlines, or major sporting events.

Imagine your e-commerce platform during festival sales or your customer service chatbots during a busy period – Global CRIS provides the throughput elasticity needed to handle these demand surges without service degradation. By routing requests globally, customers in India gain access to a much larger capacity pool, transforming from regional limits to global-scale throughput. This ensures your AI applications remain responsive and reliable when your business needs them most, all without the headache of manual multi-Region orchestration.

How to get started

Getting started with these powerful Anthropic Claude models on Amazon Bedrock using Global cross-Region inference is straightforward. You'll specify the global inference profile ID (like global.anthropic.claude-opus-4-6-v1) in your API calls instead of a Region-specific model ID. It's also essential to configure the necessary IAM permissions to enable Global cross-Region inference for your users.

For a comprehensive guide, including code examples and detailed steps, be sure to visit the official AWS Blog Post on accessing Claude models in India via Amazon Bedrock.

Read more: Discover how to leverage Claude models with Global cross-Region inference on Amazon Bedrock and start building today!