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08/03/24 12:29 PM IST

Union Cabinet approves India AI Mission with 10,372 cr outlay

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  • Recently, the Union Cabinet approved the India AI Mission with an outlay of Rs 10,372 crore for the next five years.
India AI mission
  • Under it, the government will allocate funds towards subsidising private companies that are looking to set up AI computing capacity in the country, among other things.
  • The approval could spur investments in the space, with private companies setting up data centres in the country and allowing start-ups access to it so that they can test and build their generative AI models.
  • Under the India AI Mission, the government will look to establish a computing capacity of more than 10,000 GPUs.
  • It will also help develop foundational models with a capacity of more than 100 billion parameters, trained on datasets covering major Indian languages for priority sectors like healthcare, agriculture, and governance.
  • During the infrastructure’s setup, a priority will be placed on selecting the most advanced GPUs.
  • This AI compute infrastructure will be implemented through a public-private partnership model with 50 per cent viability gap funding.
  • If the compute prices come down, the private entity will have to add more compute capacity within the same budgeted amount to meet increased demand.
  • Of the total outlay, Rs 4,564 crore has been earmarked for building computing infrastructure.
AIDatasets platform
  • The government will also finance deep tech start-ups at various levels of growth, as per the Cabinet approval.
  • Of the total outlay, roughly Rs 2,000 crore has been earmarked towards this.
  • An IndiaAI Datasets Platform will also be set up as part of the programme which will look at leveraging the quality, access, and use of non-personal datasets for AI innovation.
  • The platform will be tasked with hosting identified “high-quality” AI-ready datasets.
  • Together, these proposals cover two of the most crucial elements of building large language models: the hardware and access to high-quality datasets.
Source- Indian Express

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