India's AI mission powered by NVIDIA

Source: NVIDIA. NVIDIA is deeply involved in the IndiaAI Mission.

NVIDIA technology is supporting the IndiaAI Mission, a government effort that’s infusing India’s AI ecosystem with over US$1 B to bolster the nation’s compute capacity and foster the development of sovereign AI datasets, frontier models and applications. The mission manages AI education, startup innovation and frameworks for trustworthy AI as well.

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 cloud providers to deliver advanced AI factories to meet India’s needs for AI compute:

- Yotta, a hyperscale data centre and cloud provider, is building large‑scale sovereign AI infrastructure for India. Branded as Shakti Cloud, the infrastructure is powered by over 20,000 NVIDIA Blackwell Ultra GPUs. Yotta's 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 secure, energy‑efficient facilities will power sovereign cloud workloads and hyperscale deployments.

- 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, finetuning and high‑scale inference. Capacity within these data centres will be reserved for model builders, startups, researchers and enterprises to build, refine and deploy AI in India.

In addition, Netweb Technologies has new 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.

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. Frontier AI models are a powerful tool to help its more than 1.4 billion residents interact with technology in their primary language, NVIDIA said. 

NVIDIA Nemotron open models, datasets, tools and libraries enable organisations to build frontier 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.

Indian organisations using Nemotron and NeMo Curator, an open library for multilingual and multimodal data curation include:

- BharatGen, a sovereign AI initiative supported by the Indian government 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, which builds AI systems for speech and multimodal communication, is using the NeMo framework to develop an 8-billion-parameter model for real-time text-to-speech.

- 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 deployments.  

- CoRover.ai, which has deployed NVIDIA Nemotron Speech open models and NVIDIA Riva libraries for end-to-end, ultralow-latency speech AI — including the NVIDIA Riva Whisper v3 model for multilingual automatic speech recognition in English, Hindi and Gujarati. Powering customer service applications for the Indian Railway Catering and Tourism Corporation, CoRover’s platform supports around 10,000 concurrent users and more than 5,000 daily ticket bookings. 

- Gnani.ai, which offers enterprises a multilingual agentic AI platform that can interact with customers through voice and text. Gnani is building a 14-billion-parameter speech-to-speech model built on NVIDIA Nemotron Speech models, datasets and NeMo libraries including libraries through NVIDIA Cloud Partner E2E Networks — with plans to expand to a 32-billion-parameter model. By finetuning the NVIDIA Nemotron Speech model for Indic languages, Gnani has achieved a 15x reduction in inference costs, enabling the company to scale to support more than 10 million calls per day for customers in telecom, banking and hospitality.

- National Payments Corporation of India (NPCI), which operates India’s retail payment and settlement systems and is deploying AI models to support digital financial services. Building on its production deployment of the AI-powered UPI Help Assistant — a pilot initiative for India’s Unified Payments Interface (UPI) — NPCI is exploring training FiMi, a financial model for India, using the NVIDIA Nemotron 3 Nano model and its own datasets. The model, finetuned with the NeMo framework, will support multilingual customer service across India’s banking ecosystem.

- Sarvam.ai, a full-stack sovereign generative AI specialist that provides enterprise-grade multimodal, speech-to-text, text-to-speech, translation and reasoning models. The company is open-sourcing its Sarvam-3 series of text and multimodal large language model variants, trained for 22 Indic languages, English math and code. With these sovereign models, Sarvam.ai’s new Pravah platform enables production-grade inference for Indian government and enterprise applications.

Sarvam is using NeMo Curator to construct high-quality multilingual training data while adopting a subset of NVIDIA Nemotron datasets. The foundation models were pre-trained from scratch across 3 B, 30 B and 100 B parameter sizes using the NVIDIA NeMo framework and Megatron-LM, and post-trained with NeMo RL. Training was conducted on NVIDIA H100 GPUs through NVIDIA Cloud Partners, including Yotta. 

- Soket.ai, which is using a modern large-model training stack on open NVIDIA Nemotron technologies, including NVIDIA Megatron and NVIDIA NeMo. These open-source components enable scalable experimentation, training stability and efficient GPU usage, while preserving full control over the model’s data, design and life cycle.  

- Tech Mahindra, which has developed an 8-billion-parameter foundation model tailored for Indian languages and dialects. The model, built with Nemotron, is being designed for use in classrooms, where it can help make educational materials available in a wider range of Indian languages including Hindi, Maithili and Dogri. The team generated synthetic data with Nemotron libraries and tools such as NeMo Data Designer and conducted supervised fine-tuning with NeMo AutoModel.  

- Zoho, which is advancing its Zia LLM platform with proprietary models built using NVIDIA NeMo on the NVIDIA Blackwell and Hopper platforms, integrated across its software-as-a-service applications. This privacy-first architecture delivers contextual, production-grade AI for critical business workflows like customer relation management and finance, ensuring technology sovereignty and enterprise security at a global scale.

Nemotron models can be deployed anywhere on NVIDIA-accelerated infrastructure — including on NVIDIA DGX Spark, which is now available in India through qualified partners including PNY, RP tech India, Tech Data, a TD SYNNEX Company, as well as on NVIDIA Marketplace. A version manufactured in India as part of the Make in India initiative is available through Netweb.

DGX Spark also runs sovereign AI models by Indian model builders including Sarvam.ai.