Microsoft and G42 Collaborate to Build India's Largest Supercomputer Featuring 8 Exaflop Power

Tuesday, 10 September 2024, 11:14

Microsoft and G42 are teaming up to construct India's largest supercomputer, boasting an impressive 8 exaflop power. This monumental technology project, which emphasizes AI development and includes a Hindi-speaking language model, marks a significant milestone for India's digital infrastructure. The partnership aims to enhance computational capabilities, enabling advanced AI applications in multiple languages.
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Microsoft and G42 Collaborate to Build India's Largest Supercomputer Featuring 8 Exaflop Power

Major Announcement: India's Largest Supercomputer

Microsoft and Mubadala-backed G42 are set to develop India’s largest supercomputer with an astounding 8 exaflops of processing power. This ultra-performance machine will handle millions of trillion floating-point operations every second, positioning India at the forefront of computational technology.

Innovative AI Developments

  • In addition to the supercomputer, G42 has unveiled a beta version of NANDA, a large language model capable of conversing in Hindi, English, and Hinglish.
  • The announcement aligns with a recent memorandum of understanding signed between India and the UAE, emphasizing digital infrastructure growth.
  • G42, led by CEO Manu Jain, stated that plans include establishing a 2-gigawatt data center in India, significantly boosting current data center capacities.

Impact on AI Inclusivity

NANDA represents a transformative step towards ensuring the rich heritage of the Hindi language thrives in the AI landscape. Trained on a massive dataset of 2.13 trillion tokens, this model will enhance AI inclusivity and accessibility.

As G42 continues its ambitious plans in India, the future looks promising for both AI and supercomputing capacities in the region.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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