NVIDIA ties up with Tata, Reliance to build AI supercomputers in India
NVIDIA, an American MNC which is responsible for chips that power ChatGPT servers, is collaborating with Tata and Reliance to exponentially improve Artificial Intelligence infrastructure in the country. The companies are collaborating to work in the field of large language models (LLM) – the basis of AI – and generative AI applications, especially tailored for the Indian market. The companies claim that they will work together to build an AI infrastructure which will be much more powerful than the current fastest supercomputers in India.
How the partnerships will work
The companies are set to build state-of-the-art AI supercomputers in India. Jensen Huang, founder and CEO of NVIDIA stated that with this advanced AI computing infrastructure, “Reliance can build its own large language models that power generative AI applications made in India, for the people of India.” Akash Ambani, chairman of Reliance Jio Infocomm said that the collaboration will democratise “access to cutting-edge technologies.”
NVIDIA will provide access to GH200 Grace Hopper Superchip and NVIDIA DGX Cloud, an AI supercomputing service on the cloud. This NVIDIA-powered AI infrastructure will help Reliance create applications for its Jio user base of more than 450 million consumers. The powerful and energy-efficient AI infrastructure will help scientists, developers and startups in India.
The computing data centres are said to eventually extend their capacity to up to 2,000 MW. Execution and implementation will be carried out by Jio thanks to their expertise in mobile telephony networks, 5G spectrum and fibre connectivity. The companies want to serve a “large, comprehensive digital, cloud and networking platform” to both common users and business customers.
Meanwhile, Tata will build an AI cloud with NVIDIA in India, which will be utilised by Tata Consultancy Services to build generative AI apps in India.
NVIDIA gave an example of how this could benefit the common man of the country, where at one point the rural farmers will be able to interact with their phones in their local language to get weather information, crop prices and more. In a bigger use case, AI can help predict extreme weather conditions more accurately. These LLMs will be developed keeping in mind the diverse languages of India.
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