Access Anthropic Claude models in India on Amazon Bedrock with Global cross-Region inference
Indian developers can now access Claude Opus 4.6 with 1M token context through AWS's cross-region scaling system.
AWS has significantly expanded its generative AI infrastructure in India by launching Global Cross-Region Inference (CRIS) for Amazon Bedrock. This new capability gives developers and enterprises operating in the Mumbai (ap-south-1) and Hyderabad (ap-south-2) AWS regions direct access to Anthropic's frontier Claude models, including the powerful Claude Opus 4.6, Claude Sonnet 4.6, and Claude Haiku 4.5. All these models come with a massive 1-million token context window and advanced agentic capabilities, enabling applications to process extensive documents and complex multi-step workflows.
CRIS is a managed feature that automatically distributes inference processing across multiple AWS regions worldwide. When an API call is made from India, Bedrock can route it to any available commercial AWS region globally, providing higher throughput and maintaining application responsiveness under heavy load. This is implemented through specific global inference profile IDs (like `global.anthropic.claude-opus-4-6-v1`) that developers use in their API calls. The system handles unplanned traffic bursts by tapping into AWS's global compute capacity, reducing the need for customers to manually provision regional infrastructure.
The launch addresses a critical gap in India's AI ecosystem by providing enterprise-grade access to state-of-the-art foundation models through AWS's reliable infrastructure. Indian companies can now build production-scale generative AI applications with confidence, knowing they have access to global inference capacity without operational complexity. This move positions AWS as a key enabler for India's growing AI adoption, particularly for financial services, healthcare, and technology companies needing to process large volumes of data with advanced reasoning capabilities.
- Direct access to Claude Opus 4.6, Sonnet 4.6, and Haiku 4.5 models in India through AWS Bedrock
- 1-million token context window enables processing of extensive documents and complex workflows
- Global Cross-Region Inference automatically distributes load across AWS's worldwide commercial regions for scalability
Why It Matters
Enables Indian enterprises to build scalable, production-ready AI applications with state-of-the-art models on reliable AWS infrastructure.