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Karnataka open to subsidising GPU access for startups through AI hub

The state could offer support beyond the Centre’s IndiaAI Mission. It is also considering shared manufacturing space for small companies near Bengaluru.

Karnataka open to subsidising GPU access for startups through AI hub

Karnataka is considering subsidising access to graphics processing units (GPUs) for startups through its upcoming AI hub at IIIT Bangalore, according to IT and BT Secretary N. Manjula. The possibility was raised during a panel discussion on supporting women in tech and entrepreneurship. GPU rentals can limit how frequently early-stage startups can experiment and refine their models.

The central IndiaAI Mission programme already offers eligible startups subsidized cloud computing, but Manjula did not provide details on potential state support, such as budget, eligibility, or timeline. IIIT Bangalore Director Debabrata Das noted that hardware costs, particularly memory and GPUs, had risen fourfold over the past year.

The AI hub, approved by the Karnataka Cabinet in September for an estimated Rs 35 crore, aims to provide AI training and startup support, and its AI Living Lab will offer computing infrastructure for testing applications. Manjula also mentioned that about 30-35% of ELEVATE programme winners are women-led startups. The state has identified 11 technology business incubators at academic institutions outside Bengaluru to support founders beyond the city.

During the discussion, a biotech founder mentioned using her savings to generate early evidence for a funding programme. C-CAMP CEO Taslimarif Saiyed offered to discuss support C-CAMP could provide at the early stage. Karnataka is also exploring a parcel of land near the Bengaluru airport for small manufacturers to start producing before they can afford their own premises.

A committee is examining how to deploy a Rs 300 crore deeptech fund of funds, which could attract private capital and leave investment decisions to fund managers.

Written by urgent.news from YourStory's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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