How NVIDIA is Transforming Indian Manufacturing with AI

More than US$100bn is being invested in new Indian manufacturing capacity and NVIDIA is supporting the creation of software-defined facilities.

At the AI Impact Summit 2026, the company shared how it is supporting the IndiaAI Mission.

The NVIDIA CUDA-X and NVIDIA Omniverse libraries connect data from across operations and can bring physical AI into new factories.

India’s largest manufacturers are working with Cadence, Siemens and Synopsys using applications supported by NVIDIA’s technologies. 

“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,” said India’s Prime Minister Narendra Modi at the event.

“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.”

India’s manufacturing and AI investments

At the beginning of February, Finance Minister, Nirmala Sitharaman launched India Semiconductor Mission 2.0 in the Union Budget.

This significantly expands incentives for domestic electronics manufacturing.

Many big businesses have already announced investments in expanding manufacturing in India. 

During the AI Impact Summit, Gautam Adani, Chairman of the Adani Group, announced a US$100bn investment in the energy transition and digital infrastructure.

Reliance Industries is investing US$110bn in building gigafactories for solar, batteries and hydrogen alongside an AI-data infrastructure build-out. 

Sundar Pichai, CEO of Google, has unveiled a US$15bn investment to build AI in India including a subsea cable that connects to the US.

From 2026 to 2029, Microsoft has announced a US$17.5bn commitment in infrastructure, engineering and skilling in India. 

Advancing design and engineering

Synopsys and Cadence’s electronic design automation tools are powered by NVIDIA AI infrastructure and libraries.

These tools allow for fast design iteration and operational intelligence across a range of sectors. 

Havells India Limited is using Synopsys’ Ansys Fluent, powered by NVIDIA CUDA-X, to accelerate simulation.

According to NVIDIA, Havells achieved six times faster fluid dynamic simulations using this tool.

L&T Semiconductor Technologies uses Cadence Spectre X with CUDA-X libraries on NVIDIA GPUs to shorten design iterations of AI chips. 

Physical AI

Tata Consultancy Services is investing in AI infrastructure to deliver enterprise solutions. 

It uses the NVIDIA Metropolis platform alongside digital twins built on Omniverse libraries for automated quality checks and safety compliance at Tata Motors.

Tata is also deploying physical AI applications including autonomous safety and quality inspections using quadruped robots. 

This helps the company to reduce risk across complex manufacturing environments.

Tata Consulting Engineers’s Cognitive Twin platform is built on NVIDIA Omniverse.

It creates real-time industrial simulations that work across manufacturing, energy and infrastructure applications for project planning and optimising operations. 

Wipro PARI is using the NVIDIA Isaac robotics development platform to deliver solutions for its consumer and automotive customers. 

This technology can stress-test operations virtually before physical deployment 

Modernising factories

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

Reliance New Energy, part of Reliance Industries, is combining Siemens’ digital twin technology with NVIDIA Omniverse libraries for simulation and plant design.

Addverb Technologies, a warehouse automation and robotics business, uses Siemens’ Technomatix portfolio, NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models. 

These technologies help to create digital twins of its factories and train its robots in simulation. 

Hero MotoCorp uses Siemens Xcelerator and NVIDIA infrastructure to accelerate product development lifecycles with computer-aided engineering, numerical virtual verification and validation.