How NVIDIA's AI Powers India's US$100bn Factory Boom

More than US$100bn is being invested in new Indian manufacturing capacity.

NVIDIA is powering the shift toward software-defined production.

At the AI Impact Summit 2026, the company outlined how it is supporting the IndiaAI Mission to accelerate the nation’s industrial automation and AI adoption.

Through its NVIDIA CUDA-X and NVIDIA Omniverse libraries, data from across operations can be seamlessly connected – bringing physical AI into India’s next generation of factories.

The country’s largest manufacturers are now collaborating with Cadence, Siemens and Synopsys, deploying applications built on NVIDIA’s cutting-edge 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 start of February, Finance Minister Nirmala Sitharaman unveiled India Semiconductor Mission 2.0 as part of the Union Budget, marking a major step in strengthening the country’s position in global chip manufacturing.

The initiative significantly expands incentives for domestic electronics production, accelerating India’s ambitions to become a high-tech manufacturing hub.

Leading enterprises have already announced large-scale investments to expand their industrial footprint.

During the AI Impact Summit, Gautam Adani, Chairman of the Adani Group, revealed a US$100bn commitment towards energy transition and digital infrastructure initiatives.

Reliance Industries is investing US$110bn to establish gigafactories for solar, battery and hydrogen production, alongside a nationwide AI-driven data infrastructure rollout.

Meanwhile, Sundar Pichai, CEO of Google, announced a US$15bn investment to advance AI innovation in India, including the development of a new subsea cable connecting directly to the United States.

From 2026 to 2029, Microsoft has announced a US$17.5bn commitment to expand infrastructure, engineering and digital skilling capabilities in India, deepening its role in the country’s AI and cloud ecosystem.

Advancing design and engineering

Synopsys and Cadence’s electronic design automation tools are underpinned by NVIDIA’s AI infrastructure and libraries, enabling high-performance, GPU-accelerated chip design workflows.

These platforms support fast design iteration and operational intelligence across multiple sectors, from semiconductors to industrial electronics.​

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

According to NVIDIA, Havells has achieved up to six times faster computational fluid dynamics simulations using this stack, dramatically compressing time-to-insight for engineering teams.​

L&T Semiconductor Technologies relies on Cadence Spectre X with CUDA-X libraries running on NVIDIA GPUs to shorten AI chip design cycles, enabling more rapid validation and optimisation of advanced semiconductor architectures.

Physical AI

Tata Consultancy Services is investing in AI infrastructure to power enterprise-grade AI solutions and industrial transformation.

It leverages the NVIDIA Metropolis platform alongside Omniverse-powered digital twins to enable automated quality inspections and real-time safety compliance at Tata Motors manufacturing facilities.

Tata is also implementing physical AI solutions, such as autonomous safety and quality inspections via quadruped robots.

These capabilities help the company mitigate risks in demanding manufacturing settings.

Tata Consulting Engineers’ Cognitive Twin platform runs on NVIDIA Omniverse.

It generates live industrial simulations spanning manufacturing, energy and infrastructure sectors to enhance project planning and operational efficiency.

Wipro PARI leverages the NVIDIA Isaac robotics platform to develop solutions for consumer and automotive clients.

The technology enables virtual stress-testing of operations prior to real-world rollout.

Modernising factories

Siemens industrial software, integrated with NVIDIA CUDA-X and Omniverse libraries, enables the design, construction and operation of software-defined factories.

Reliance New Energy, part of Reliance Industries, is integrating Siemens’ digital twin technology with NVIDIA Omniverse libraries to enhance simulation and plant design processes.

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

These technologies enable the creation of digital twins of its factories and support robot training in simulated environments.

Hero MotoCorp leverages Siemens Xcelerator and NVIDIA infrastructure to streamline product development lifecycles through computer-aided engineering, numerical virtual verification and validation.