NVIDIA Fuels India’s AI Revolution: Infrastructure, Models & Research

by Chief Editor

India’s AI Revolution: A Deep Dive into the India AI Impact Summit 2026

India is rapidly emerging as a global hub for Artificial Intelligence (AI) innovation, a trend powerfully underscored by the recent India AI Impact Summit in New Delhi. The summit brought together heads of state, industry leaders, and entrepreneurs to chart the course for AI’s future, with NVIDIA playing a central role in bolstering the nation’s AI capabilities.

Building a Robust AI Infrastructure

A cornerstone of India’s AI ambitions is a significant investment in computing infrastructure. The IndiaAI Compute Pillar is driving the development of AI cloud offerings, incorporating tens of thousands of NVIDIA GPUs. This initiative is fueled by over $1 billion in funding through the IndiaAI Mission, designed to strengthen compute capacity and foster the development of sovereign AI.

NVIDIA is collaborating with next-generation cloud providers like Yotta, L&T, and E2E Networks to deliver advanced AI factories. Yotta’s Shakti Cloud, powered by over 20,000 NVIDIA Blackwell Ultra GPUs, offers pay-per-use GPU-dense services. E2E Networks is building an NVIDIA Blackwell GPU cluster on its TIR platform, hosted at the L&T Vyoma Data Center in Chennai, featuring NVIDIA HGX B200 systems and open models.

Further expanding access, Netweb Technologies is launching Tyrone Camarero AI Supercomputing systems built on the NVIDIA Grace Blackwell architecture, manufactured in India under the “Make in India” mission.

The Rise of India-Specific AI Models

The IndiaAI Mission’s Innovation Center Pillar focuses on developing and deploying foundation models trained on India-specific data. This is particularly crucial for a multilingual nation like India, with 22 constitutionally recognized languages and over 1,500 more. Frontier AI models can help bridge the digital divide and enable more inclusive technology access.

Organizations are leveraging NVIDIA Nemotron to support public-sector services, financial systems, and enterprise operations in multiple languages. Datasets like Nemotron-Personas-India, built using NeMo Data Designer, provide a foundation for population-scale sovereign AI development.

Key Players in India’s AI Model Development

  • BharatGen: Developed a 17-billion-parameter mixture-of-experts model using the NVIDIA NeMo framework.
  • Chariot: Building an 8-billion-parameter model for real-time text to speech using the NeMo framework.
  • Commotion: Integrating NVIDIA Nemotron models into its AI operating system for automating enterprise workflows.
  • CoRover.ai: Deploying NVIDIA Nemotron Speech open models for customer service applications for the Indian Railway Catering and Tourism Corporation.
  • Gnani.ai: Building a 14-billion-parameter speech-to-speech model on NVIDIA Nemotron Speech models.
  • National Payments Corporation of India (NPCI): Exploring training FiMi, a financial model for India, using the NVIDIA Nemotron 3 Nano model.
  • Sarvam.ai: Open sourcing its Sarvam-3 series of text and multimodal large language model variants, trained for 22 Indic languages.
  • Soket.ai: Utilizing a modern large-model training stack on open NVIDIA Nemotron technologies.
  • Tech Mahindra: Developing an 8-billion-parameter foundation model tailored for Indian languages and dialects.
  • Zoho: Advancing its Zia LLM platform with proprietary models built using NVIDIA NeMo.

Government and Academic Collaboration

The IndiaAI Mission’s Application Development and Startup Financing Pillars are fostering innovation through government and academic partnerships. NVIDIA is collaborating with the Anusandhan National Research Foundation (ANRF) to support cutting-edge AI research across leading academic institutions.

This collaboration will provide ANRF grantee institutions with access to NVIDIA AI Enterprise software and technical mentorship through the NVIDIA AI Technology Center. NVIDIA is partnering with venture capital firms like Peak XV and Accel India to identify and fund promising AI startups, with over 4,000 Indian AI startups already participating in the NVIDIA Inception program.

FAQ

Q: What is the IndiaAI Mission?
A: It’s a national program to build AI infrastructure, datasets, skilling, and innovation ecosystems in India.

Q: What role is NVIDIA playing in India’s AI development?
A: NVIDIA is collaborating with cloud providers, research institutions, and startups to provide infrastructure, models, and expertise.

Q: What is NVIDIA Nemotron?
A: It’s a suite of open models, datasets, tools, and libraries for building frontier speech, language, and multimodal models.

Q: What is the significance of developing AI models for Indian languages?
A: It helps bridge the digital divide and makes AI technology more accessible to India’s diverse population.

Did you know? India is investing heavily in its AI cloud infrastructure, with systems including tens of thousands of NVIDIA GPUs.

Pro Tip: Explore the NVIDIA Inception program for startups to gain access to resources and support for AI development.

Stay informed about the latest advancements in AI and India’s role in shaping the future of this transformative technology. Learn more about NVIDIA’s partnerships with India’s largest manufacturers and how India’s global systems integrators are building enterprise AI agents with NVIDIA.

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