Anthropic brings in-country Claude inference to India via Amazon Bedrock

Anthropic has launched in-country inference for its Claude models in India via Amazon Bedrock, enabling prompts and responses sent through the company's India endpoint to be processed on servers within the nation. This development aims to satisfy data-residency demands of enterprises in regulated sectors, who have hesitated to adopt generative AI tools without local data processing assurances.

In practical terms, when an Indian user interacts with Claude through the India endpoint, both the input prompt and the model's response are processed on servers physically situated in India, as opposed to being routed abroad. Amazon Bedrock, AWS's platform for accessing and deploying generative AI models, provides the underlying infrastructure that enables this localized access.

Claude Opus 5, Sonnet 5, and Haiku 4.5 are now accessible with this in-country inference option through Amazon Bedrock in India. Anthropic's decision to implement this feature specifically for India stems from the country being its second-largest market for Claude.ai, with software development accounting for 45.2% of work-related tasks in India, the highest share among all markets.

The move was prompted by requests from regulated-sector customers, such as financial institutions, government bodies, and large enterprises, who specifically requested the capability to use Claude on their critical work with every request processed within the country. While software development remains the primary use case, Claude's adoption in India has expanded to encompass banking and payments, large enterprises, IT services, digital companies, healthcare, science, and public services.

Numerous prominent Indian IT services firms, including TCS, Infosys, Cognizant, and LTTS, are already leveraging Claude at scale, equipped with the model, integrated into their platforms, or embedding it into their engineering systems. This India rollout is part of Anthropic's broader strategy to strengthen its presence in a market where enterprise generative AI adoption is rapidly growing, and data localisation requirements are becoming a crucial consideration for large organizations evaluating AI vendors.