New Delhi, October 5: AI company Anthropic has started providing AI inference within India through Amazon Bedrock, allowing its Claude models, including Claude Opus 5, Sonnet 5 and Haiku 4.5, to process data on servers located in the country, reported PTI. This means queries generated through Claude AI will be processed in India before responses are delivered to users.
The move comes in response to requests from Indian organisations for local data processing to meet data residency and regulatory requirements under the Digital Personal Data Protection Act. Anthropic said Claude deployments through Amazon Bedrock in India will also provide audit trails and access controls needed by risk and compliance teams before deploying AI in production environments.
“In August, we committed to bringing Claude inference to India, and we are delivering on that promise,” Anthropic Managing Director for India Irina Ghose said. She added that customers, particularly in regulated sectors and government, want to use Claude for critical work while having their requests processed within India.
Anthropic said requests sent through its India endpoint will now be processed within the country, giving regulated institutions data residency assurances for sensitive workloads.
The company opened its Bengaluru office in February and has been expanding its presence in India. It said India is among Claude’s largest global markets and has one of the most technically sophisticated developer communities it serves.
Anthropic launched its Claude Partner Network in March and held its first Claude Certification for Partners in Bengaluru in August, certifying up to 5,000 people. The company said local inference has been a recurring request from Indian organisations, particularly financial institutions, government bodies and large enterprises operating under strict data-handling requirements.
AWS India and South Asia President Sandeep Dutta said data residency is an important factor in whether regulated industries can move AI deployments from pilots to full production.
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