How NVIDIA is Supporting the IndiaAI Mission

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Tata Group at the AI Summit 2026 (Credit: Tata Group)
India’s next-gen factories are getting a significant boost from NVIDIA’s Omniverse and CUDA-X, accelerating automation and design workflows

India is accelerating its industrial build-out with AI at the core, with NVIDIA emerging as a key enabler.

At the AI Impact Summit 2026, the company outlined support for the IndiaAI Mission, showcasing how CUDA-X and Omniverse connect operational data, power digital twins and bring “physical AI” into new factories through intelligent automation and robotics.

India’s largest manufacturers are deploying applications from Cadence, Siemens and Synopsys that are accelerated by NVIDIA technologies.

Prime Minister Narendra Modi, who hosted the summit, said: “India is home to the world’s largest youth population, the biggest pool of tech talent and one of the most expansive tech-enabled ecosystems.

“Artificial intelligence is such a transformation in human history. What we see today, what we predict today, are only the early signs of its impact. The real question is not what artificial intelligence can do in the future, but what we choose to do with it today.”

Narendra Modi, Prime Minister of India, opened the summit with a speech on its aim. Credit: Getty Images

India’s manufacturing and AI investment surge

In February, Finance Minister Nirmala Sitharaman launched India Semiconductor Mission 2.0 in the Union Budget, expanding incentives for domestic electronics manufacturing.

Private capital is moving in step: Gautam Adani and Reliance Industries both announced at least US$100bn in investment towards energy transition and digital infrastructure. 

Reliance Industries is also committing US$110bn to gigafactories for solar, batteries and hydrogen alongside an AI data infrastructure build-out.

Last year, Google, led by CEO Sundar Pichai, unveiled a US$15bn programme to build AI in India, including a new US-India subsea cable; and Microsoft set out a US$17.5bn commitment from 2026 to 2029 covering infrastructure, engineering and skilling.

Sundar Pichai, CEO of Google. Credit: Getty

Electronic design automation leaders Synopsys and Cadence are running their tool chains on NVIDIA AI infrastructure and libraries to speed iteration and add operational intelligence.

Havells India is using Ansys Fluent, accelerated by NVIDIA CUDA-X, achieving sixfold faster computational fluid dynamics simulations. L&T Semiconductor Technologies uses Cadence Spectre X with CUDA-X on NVIDIA GPUs to shorten design cycles for AI chips.

Physical AI on the factory floor

Tata Consultancy Services is investing in AI infrastructure to deliver enterprise solutions, using the NVIDIA Metropolis platform and digital twins built on Omniverse for automated quality checks and safety compliance at Tata Motors.

The consultancy is also rolling out autonomous safety and quality inspections with quadruped robots to reduce risk in complex environments.

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Tata Consulting Engineers’ Cognitive Twin platform, built on Omniverse, creates real-time industrial simulations for manufacturing, energy and infrastructure projects, improving planning and operational optimisation.

Wipro PARI is leveraging the NVIDIA Isaac robotics platform to develop automation for consumer and automotive customers and to stress-test operations virtually before physical deployment.

Modernising factories with digital twins

Siemens industrial software, integrated with NVIDIA CUDA-X and Omniverse libraries, is being used to design, build and operate software-defined factories.

Reliance New Energy is combining Siemens’ digital twin technology with Omniverse for advanced simulation and plant design.

Warehouse automation specialist Addverb Technologies uses Siemens’ Technomatix portfolio, NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models to create factory digital twins and train robots in simulation.

Hero MotoCorp is deploying Siemens Xcelerator alongside NVIDIA infrastructure to compress product development lifecycles with computer-aided engineering and numerical virtual verification and validation.

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Outlook: Toward AI-native manufacturing

These initiatives signal a shift from siloed automation to AI-native manufacturing, where design, planning and operations are continuously connected.

As India scales its industrial footprint, strategic choices around software-defined factories, digital twins and physical AI will shape the nation’s competitiveness for decades to come.