Here's how NVIDIA is betting on its India strategy

The world's most valuable company, NVIDIA, is expanding on its India strategy, with many Indian companies and government agencies through a multi-prong approach that includes GPUs, softwares and AI models. 

As per their statement, 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.

While Jensen Huang, President and CEO, NVIDIA, could not make it to the ongoing AI Impact Summit at New Delhi, as reports claim that he was "down with a bug" due to constant travelling, NVIDIA announced multiple partnerships with companies such as Hero MotorCorp, Tech Mahindra, Reliance New Energy, TCS, etc.

Here's all you need to know about Nvidia's India plans:

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 centre 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.

E2E Networks is building an NVIDIA Blackwell GPU cluster on its TIR platform, hosted at the L&T Vyoma Data Centre 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.

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, which features four NVIDIA Blackwell GPUs and two NVIDIA Grace CPUs to power scientific computing, model training and inference.

NVIDIA and India AI-native companies to the frontier of AI models

Organisations in India are deploying NVIDIA’s Nemotron open models to build multilingual AI systems for government, finance and enterprise use. The platform includes India-specific datasets like Nemotron-Personas-India, a 21 million–persona synthetic dataset derived from public census data to support population-scale sovereign AI. 

Indian adopters of Nemotron and NeMo Curator include:

• BharatGen, a government-backed initiative, has built a 17B-parameter multilingual MoE model to power public-sector applications.

• Chariot, developing an 8B real-time text-to-speech model for accessibility and digital interaction.

• Commotion (backed by Tata Communications), which integrates Nemotron into an enterprise AI operating system to automate workflows.

• CoRover.ai, deploying Nemotron Speech and Riva models for multilingual customer service, including IRCTC ticketing, supporting 10,000 concurrent users and 5,000 daily bookings.

• Gnani.ai, building a speech-to-speech model for Indic languages, reducing inference costs 15x and handling over 10 million calls per day.

• NPCI, which is exploring a multilingual financial model (“FiMi”) built on Nemotron to support UPI customer services.

• Sarvam.ai, open-sourcing multilingual foundation models trained across multiple parameter sizes for government and enterprise use.

• Soket.ai, using Nemotron, Megatron and NeMo for large-model training with full data control.

• Tech Mahindra, developing an 8B Indian-language model for classroom use.

• Zoho, building proprietary models with NeMo for AI integration across its SaaS products.

Partnerships with manufacturers to build AI factories

Indian manufacturers such as Reliance New Energy and Addverb Technologies are using Siemens’ industrial software integrated with NVIDIA CUDA-X and Omniverse to design and operate software-defined factories.

Reliance New Energy is combining Siemens’ digital twin technology with NVIDIA Omniverse to improve simulation and plant design for its upcoming gigafactories.

Hero MotoCorp is deploying Siemens Xcelerator and NVIDIA infrastructure to speed up product development through enhanced computer-aided engineering and virtual validation.

Havells India is using Ansys Fluent powered by CUDA-X for fluid simulations, achieving sixfold faster results and reducing time to market. Larsen & Toubro Semiconductor is running Cadence Spectre X on NVIDIA GPUs to shorten design cycles for next-generation AI chips.

Collaboration with Indian IT companies

Companies such as Infosys, Persistent Systems, Tech Mahindra and Wipro are leveraging Nvidia’s AI Enterprise software stack to build and deploy AI agents across large industries — spanning financial services, telecom, drug discovery, software engineering and customer operations.

Wipro, for example, has worked with Nvidia on an AI-powered voice and agent-assist solution for a large US-based health insurer. 42% of inbound calls are now handled by AI agents and provide near‑instant responsiveness across 900 concurrent calls and 164 requests per second, all with sub‑200‑millisecond latency.

Infosys developed a new small language model for coding using Nvidia’s NeMo framework. It is a 2.5‑billion‑parameter model that supports agent development, code generation, refactoring and end‑to‑end software‑engineering workflows. It’s trained on a curated blend of high‑quality code, synthetic data, mathematical reasoning and natural language inputs.