With the introduction of Google’s Gemini 1.5 Flash Large Language Model (LLM), Indian organizations across all sectors, including the public sector, can safely store their data and now run machine learning applications entirely within India. This development caters to the growing demand of Indian companies for local data processing solutions.
Bikram Bedi, vice president and country general manager, Google Cloud India, said this platform is especially valuable for businesses like public sector and financial institutions, where sensitive data handling is important.
At the media roundtable, Bedi emphasized that local data storage and processing under Mithun 1.5 Flash will also help Indian startups by reducing costs and improving efficiency in areas some of the. He emphasized that Google’s AI stack is unique in delivering end-to-end applications without relying on third-party technology. This not only increases productivity but also provides better prices, especially as companies move towards production and scale-up.
Bedi also said that legal requirements and industry requirements played a key role in Google’s decision to enable localization in India.
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