Govt may allow more compute capacity based on requirement under India AI mission

The rapid advancements in AI technology have indeed driven a surge in demand for GPU-based servers. GPUs, with their parallel processing capabilities, are ideally suited for handling the complex computations involved in AI tasks, such as training neural networks and processing large datasets.

Electronics and IT Secretary S Krishnan said that the government may look at creating more "compute capacity" through viability gap funding after building high-tech capability under the Rs 10,372-crore India AI mission.

Under the mission, supercomputing capacity, comprising over 10,000 GPUs, will be made available to various stakeholders for creating an artificial intelligence (AI) ecosystem. Krishnan said the vision is to create capacity in a public-private partnership model.

Electronics and IT Secretary shared this at a Deloitte India event, highlighting that over Rs 4,500 crore of the mission's budget is allocated for building compute capacity. The decision on further funding will depend on the actual compute capacity developed in the country, indicating a strategic approach to bolster India's AI infrastructure.

The Indian government has opened bids for the empanelment of entities to provide artificial intelligence services on the cloud as part of the India AI Mission. This initiative will make supercomputing capacity available, featuring over 10,000 GPUs, to support the development of a robust AI ecosystem.

The growing global demand for AI has heightened the need for GPU-based servers, which offer faster data processing compared to traditional CPU-based servers, highlighting the government's commitment to advancing AI capabilities in the country.