IndiaAI Mission to open-source new foundational AI models with 34,000+ GPUs support

The IndiaAI Mission has significantly expanded its GPU infrastructure to over 34,000 units, enabling startups like Soket AI, Gnani.ai, and Gan.ai to develop advanced multilingual and sector-specific AI models. This move aims to democratize AI access in India by making foundational models open-source and widely available, accelerating innovation across defense, healthcare, and education.

Sources:
The Economic TimesLivemintThehindu+1
Updated 2h ago
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Sources: The Economic TimesLivemintThehindu+1
The IndiaAI Mission has significantly bolstered its AI development capabilities by expanding its GPU infrastructure to over 34,000 GPUs, sourced from industry leaders Nvidia, AMD, AWS, and Intel. This expansion supports the mission's goal to democratize AI access and accelerate indigenous foundational AI model development.

Three startups—Soket AI, Gnani.ai, and Gan.ai—have been selected to develop open-source foundational AI models tailored to India's diverse linguistic and sectoral needs. Soket AI is tasked with creating a 120 billion parameter model optimized for sectors like defense, healthcare, and education.

Gnani.ai, backed by Info Edge Ventures, will develop a 14 billion parameter voice AI model capable of multilingual, real-time speech processing with advanced reasoning. Gan.ai aims to build a 70 billion parameter multilingual text-to-speech (TTS) model with superhuman capabilities.

Union IT Minister Ashwini Vaishnaw emphasized the government's commitment, stating, “This is a big change, and AI is here for good,” highlighting the mission's focus on open-source models and widespread accessibility.

The mission, backed by a $1.2 billion fund, also supports startups and academia by providing subsidized cloud compute platforms and creating datasets in Indian languages to train AI models. The addition of 16,000 new GPUs recently approved further enhances India's capacity to develop large language models (LLMs) and small language models (SLMs), foundational to generative AI applications.

This initiative marks a strategic push to position India as a leader in AI innovation, fostering homegrown technology solutions with broad societal impact.
Sources: The Economic Times
IndiaAI Mission has expanded its AI infrastructure with over 34,000 GPUs from Nvidia, AMD, AWS, and Intel, supporting startups like Soket AI, Gnani.ai, and Gan.ai to develop open-source foundational AI models targeting sectors such as defense, healthcare, and multilingual voice AI services.
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The Headline

IndiaAI Mission expands GPU capacity and selects startups for open-source AI models

This is a big change, and AI is here for good.
Union IT Minister Ashwini Vaishnaw
Cnbctv18
Key Facts
  • The IndiaAI Mission has expanded its GPU capacity to over 34,000 units, sourced from Nvidia, AMD, AWS, and Intel, following the empanelment of 15,640 new GPUs by the Union government.The Economic TimesLivemint
  • Three startups—Soket AI, Gnani.ai, and Gan.ai—were selected to develop indigenous foundational AI models with diverse capabilities including multilingual support and sector-specific applications.The Economic Times
  • Soket AI will develop an open-source 120 billion parameter foundational model optimized for India's linguistic diversity, targeting sectors such as defence, healthcare, and education.The Economic Times
  • Gnani.ai is tasked with building a 14 billion parameter voice AI foundational model delivering multilingual, real-time speech processing with advanced reasoning capabilities.The Economic Times
  • Gan.ai will create a 70 billion parameter multilingual foundational model targeting superhuman text-to-speech (TTS) capabilities.The Economic Times
  • Union IT Minister Ashwini Vaishnaw announced the addition of 16,000 GPUs to the national computing infrastructure, raising total GPU availability under the IndiaAI Mission to over 34,000 units.Cnbctv18
  • Vaishnaw confirmed that three new proposals for indigenous large language models (LLMs) were selected, expanding the IndiaAI Mission's scope beyond the initial project.Cnbctv18
  • The government emphasized that these foundational AI models will be open-source and widely accessible to democratize AI technology across India.Cnbctv18
Key Stats at a Glance
Total GPU capacity under IndiaAI Mission
34000 units
The Economic Times
New GPUs added to IndiaAI Mission
16000 units
Cnbctv18
New GPUs empanelled by Union government
15640 units
Livemint
Number of new startups appointed for AI model training
3 units
Livemint
Soket AI model parameter size
120 billion units
The Economic Times
Gnani.ai model parameter size
14 billion units
The Economic Times
Gan.ai model parameter size
70 billion units
The Economic Times
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Background Context

IndiaAI Mission's foundation and strategic support for AI development

Key Facts
  • Sarvam.ai was the first startup approved by the IndiaAI Mission to develop a foundational AI model, setting the stage for subsequent selections.The Economic Times
  • The $1.2-billion IndiaAI Mission aims to back startups in building foundational AI models, create a subsidized cloud compute platform for academia, researchers, and startups, and develop datasets in Indian languages to train AI models.Livemint
  • Selected startups receive free access to the Common Compute facility, which provides thousands of GPUs for training and deploying AI models.Thehindu
  • Gnani.ai, backed by Sanjeev Bikhchandani's Info Edge Ventures, is one of the startups building sovereign foundational AI models for voice-based AI services.Livemint
  • The combined total of over 32,000 GPUs significantly boosts India's capacity to develop and train large language models (LLMs) and small language models (SLMs), which are essential for generative AI applications.Cnbctv18
Key Stats at a Glance
IndiaAI Mission funding
$1.2 billion
Livemint
Total GPUs boosting AI model development capacity
32000 units
Cnbctv18
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