India’s First Homegrown AI Foundational Model to be Developed by Sarvam AI
In a significant milestone for the Indian tech industry, the Ministry of Electronics and Information Technology (MeitY) has announced that Sarvam AI will develop India’s first homegrown AI foundational model. The company has been selected under the IndiaAI Mission, a government initiative aimed at promoting the development of indigenous AI capabilities in the country.
The announcement was made by Minister of Electronics and Information Technology Ashwini Vaishnaw on Saturday, who revealed that Sarvam AI will receive a significant allocation of 4086 H100 GPUs for a period of six months to build the foundational model from scratch.
This development is a significant step forward for India’s AI landscape, as it will enable the country to have a homegrown AI model that can be used for various applications, including healthcare, finance, and education. The model will also have reasoning and voice capabilities, making it a comprehensive and robust system.
According to reports, the IndiaAI Mission aims to promote the development of AI in the country by providing funding and support to startups and companies working in the field. The mission also aims to create a framework for the development and deployment of AI-based solutions in various sectors.
Sarvam AI, a Bengaluru-based company, is a leading player in the AI space, with expertise in areas such as machine learning, natural language processing, and computer vision. The company has worked with several leading organizations, including startups and Fortune 500 companies, to develop AI-based solutions for various applications.
The company’s selection for the IndiaAI Mission is a testament to its expertise and capabilities in the AI space. With the allocation of 4086 H100 GPUs, Sarvam AI will be able to develop a comprehensive AI foundational model that can be used for various applications.
The development of a homegrown AI foundational model is significant for several reasons. Firstly, it will enable India to reduce its dependence on foreign AI models and frameworks, which are often proprietary and may not be adaptable to local needs and requirements. Secondly, it will enable Indian companies to develop AI-based solutions that are tailored to local needs and requirements, which will be more effective and efficient.
Furthermore, the development of a homegrown AI foundational model will also enable India to promote the growth of the AI industry in the country. The industry has the potential to create thousands of jobs and drive economic growth, and the development of a homegrown AI model will be a significant step forward in this direction.
The IndiaAI Mission is a significant initiative that aims to promote the development of AI in the country. The mission has been launched by the government to promote the development of AI-based solutions in various sectors, including healthcare, finance, and education.
The mission will provide funding and support to startups and companies working in the field, and will also create a framework for the development and deployment of AI-based solutions. The mission will also promote the growth of the AI industry in the country, which has the potential to create thousands of jobs and drive economic growth.
In conclusion, the development of India’s first homegrown AI foundational model by Sarvam AI is a significant milestone for the Indian tech industry. The company’s selection for the IndiaAI Mission is a testament to its expertise and capabilities in the AI space, and the allocation of 4086 H100 GPUs will enable the company to develop a comprehensive AI foundational model that can be used for various applications.
The development of a homegrown AI foundational model will enable India to reduce its dependence on foreign AI models and frameworks, and will also promote the growth of the AI industry in the country. The mission will provide funding and support to startups and companies working in the field, and will also create a framework for the development and deployment of AI-based solutions.
