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Reading: Bhavish Aggarwal Invests Rs 2,000 Crore in Krutrim AI, Unveils Nvidia-Backed Supercomputer
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StockWaves > Financial News > Bhavish Aggarwal Invests Rs 2,000 Crore in Krutrim AI, Unveils Nvidia-Backed Supercomputer
Financial News

Bhavish Aggarwal Invests Rs 2,000 Crore in Krutrim AI, Unveils Nvidia-Backed Supercomputer

StockWaves By StockWaves Last updated: February 4, 2025 3 Min Read
Bhavish Aggarwal Invests Rs 2,000 Crore in Krutrim AI, Unveils Nvidia-Backed Supercomputer
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February 4, 2025February 4, 2025



Ola founder Bhavish Aggarwal has introduced a Rs 2,000 crore funding in his AI startup Krutrim, with an extra dedication of Rs 10,000 crore by subsequent yr. He additionally launched the Krutrim AI Lab, which is devoted to advancing AI applied sciences and analysis.

As a part of the initiative, Krutrim unveiled its newest AI fashions, together with Krutrim 2, a imaginative and prescient language mannequin for visible knowledge processing, a speech-language mannequin for voice interactions, and a text-to-text translation mannequin to reinforce multilingual communication.

Aggarwal shared on X that the corporate is open-sourcing its AI fashions and releasing technical stories to enhance AI options tailor-made for India, specializing in language variety, knowledge shortage, and cultural nuances.

To bolster its computational capabilities, Krutrim partnered with Nvidia to deploy India’s first GB200 supercomputer, which is anticipated to be operational by March. Aggarwal emphasised plans to make it the most important supercomputer in India by year-end.

The choice to open-source Krutrim’s AI fashions displays a worldwide pattern following the success of Chinese language startup DeepSeek, whose cost-efficient AI improvement prompted many corporations to undertake related methods.

Whereas Aggarwal acknowledged that Krutrim’s fashions are nonetheless creating and never but at world benchmarks, he expressed optimism that open sourcing-would foster innovation and contribute to a sturdy AI ecosystem in India.

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