India Fuels Its AI Mission With NVIDIA

India is the nexus of AI innovation this week as the host of the AI Impact Summit, which brings together global heads of state and industry to chart the future of AI.

At the summit, taking place in New Delhi, industry leaders, government agencies, educational institutions and startups are sharing how they're working with NVIDIA to drive the AI industrial revolution in the world's most populous country.

These initiatives support the IndiaAI Mission, a government effort that's infusing India's AI ecosystem with over $1 billion to bolster the nation's compute capacity and foster the development of sovereign AI datasets, frontier models and applications. The mission also supports AI education, startup innovation and frameworks for trustworthy AI.

Read how NVIDIA is supporting IndiaAI Mission priorities including:

Expanded compute capacity

Frontier AI model development

Impactful AI research and innovation

NVIDIA Cloud Partners Boost India AI Infrastructure To achieve its AI ambitions, India is investing heavily in its computing infrastructure. Under the IndiaAI Compute Pillar, the nation is building out its AI cloud offerings with systems including tens of thousands of NVIDIA GPUs.

NVIDIA is collaborating with next generation cloud providers Yotta, L&T and E2E Networks to deliver advanced AI factories to meet India's growing need for AI compute and enable it to develop AI models and services that drive innovation.

Yotta is a hyperscale data center and cloud provider building large scale sovereign AI infrastructure for India, branded as Shakti Cloud, powered by over 20,000 NVIDIA Blackwell Ultra GPUs. Its campuses in Navi Mumbai and Greater Noida deliver GPU dense, high bandwidth AI cloud services on a pay per use model, designed to make advanced AI training and inference affordable and compliant for Indian enterprises and public sector customers.

Larsen & Toubro (L&T) is building sovereign, gigawatt-scale NVIDIA AI factory infrastructure in India to reinforce the country's position as a global AI powerhouse in alignment with the IndiaAI Mission. The roadmap includes initial expansions in Chennai to 30 megawatts as well as a new 40-megawatt facility in Mumbai. These facilities will power sovereign cloud workloads and hyperscale deployments, delivering secure, energy efficient infrastructure for advanced AI applications.

E2E Networks is building an NVIDIA Blackwell GPU cluster on its TIR platform, hosted at the L&T Vyoma Data Center in Chennai. The TIR cloud compute platform will feature NVIDIA HGX B200 systems and NVIDIA Enterprise software as well as NVIDIA Nemotron open models to supercharge sovereign development across agentic AI, healthcare, finance, manufacturing and agriculture.

India's AI cloud infrastructure will host workloads as well as manufacture intelligence for model training, fine-tuning and high scale inference. Capacity within these data centers will be reserved for model builders, startups, researchers and enterprises to build, fine-tune and deploy AI in India.

Further expanding access to NVIDIA AI infrastructure in India, Netweb Technologies is launching its Tyrone Camarero AI Supercomputing systems built on the NVIDIA Grace Blackwell architecture. The NVIDIA GB200 NVL4 platforms - manufactured in India by Netweb under the government's Make in India mission - feature four NVIDIA Blackwell GPUs and two NVIDIA Grace CPUs to power scientific computing, model training and inference.

NVIDIA and India AI-Native Companies Build the Nation's Frontier AI Models

Another key goal of the IndiaAI Mission - led by its Innovation Center Pillar - is to develop and deploy foundation models trained on India-specific data and domestic AI infrastructure.

For a nation as multilingual as India - with 22 constitutionally recognized languages and over 1,500 more recorded by the country's census - frontier AI models are a powerful tool to help its more than 1.4 billion residents interact with technology in their primary language.

Organizations across the country are building AI applications with NVIDIA Nemotron to support public-sector services, financial systems and enterprise operations in multiple languages.

NVIDIA Nemotron open models, datasets, tools and libraries enable organizations to build frontier speech, language and multimodal models at scale and across languages for government, consumer and enterprise applications. It includes India-specific datasets like Nemotron-Personas-India, an open dataset built from publicly available census data using NeMo Data Designer that includes 21 million fully synthetic Indic personas to enable population-scale sovereign AI development.

Adopters in India of Nemotron - and NeMo Curator, an open library for multilingual and multimodal data curation - include:

BharatGen, a sovereign AI initiative supported by the Government of India aimed at strengthening the country's multilingual and multimodal AI ecosystem. As part of this effort, BharatGen has developed a 17-billion-parameter mixture-of-experts (MoE) model from the ground up, using the NVIDIA NeMo framework for pretraining and the NeMo RL library for post-training. The open source models are designed to power applications across public services, agriculture, security and cultural preservation.

Chariot, a company building AI systems for speech and multimodal communication. Using the NeMo framework, Chariot is developing an 8-billion-parameter model for real-time text to speech, supporting applications that improve accessibility and digital interaction across consumer and enterprise use cases.

Commotion, backed by Tata Communications, which has developed an AI operating system to automate complex enterprise workflows. By integrating NVIDIA Nemotron models and speech capabilities, the platform enables governed, production-grade AI deploy

LINK:	https://blogs.nvidia.com/blog/india-ai-mission-infrastructure-models/...
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