To enhance India’s computational capabilities, the government has announced plans to procure 10,000 graphics processing units (GPUs) within the next 18 months.
Amitabh Kant, the G20 Sherpa for India and also the former CEO of NITI Aayog, posted on X saying that this strategic investment aims to dramatically boost the nation’s processing power, aligning its resources with its substantial data generation capabilities.
However, the post does not mention the particular maker or model of the GPU, but it is expected to be built for generative AI and supercomputing.
Kant also highlighted that India is responsible for generating 20% of the world’s data and holds the second-highest number of GitHub AI projects globally, contributing 19% to the worldwide total. This reflects India’s active and vibrant participation in AI development on an international scale.
This is also in line with the recent report by IDC, unveiled at Intel’s AI for India conference that India’s spending on AI may reach $5.1 billion by 2027. This surge is largely attributed to AI infrastructure provisioning. This includes spending on hardware such as servers and chips (CPUs, GPUs, and accelerators), as well as software components like frameworks and libraries.
In March, Yotta Data Services announced the arrival of over 4,000 NVIDIA H100 Tensor Core GPUs at its NM1 data centre. The state-of-the-art chips, billed as the world’s fastest AI accelerators, will power Yotta’s upcoming Shakti Cloud platform – set to be the 10th quickest supercomputer globally.
