NVIDIA innovations are supporting India’s largest players

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. 

- 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. 

- 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.

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. 

- Chariot, which builds AI systems for speech and multimodal communication. Using the NeMo framework, Chariot is developing an 8-billion-parameter model for real-time text to speech. 

- Commotion, which has developed an AI operating system with NVIDIA Nemotron models and speech capabilities to automate complex enterprise workflows. 

- CoRover.ai, which has deployed NVIDIA Nemotron Speech open models and NVIDIA Riva libraries for end-to-end, ultralow-latency speech AI.

- Gnani.ai, which offers enterprises a multilingual agentic AI platform that can interact 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.

- 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. 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, 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. 

- 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.

- 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. 

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. 

NVIDIA is collaborating with government agencies, research institutions, venture capital firms and startups to advance projects aligned with two other pillars. Under its Application Development Initiative Pillar, the IndiaAI Mission is supporting high-impact AI applications, while its Startup Financing Pillar aims to democratise funding availability for AI entrepreneurs across the country.

NVIDIA is collaborating with the Anusandhan National Research Foundation (ANRF), a statutory body under the Indian government, to spur even more cutting-edge AI research across the nation’s leading academic institutions. The initiative will support ANRF’s AI for Science & Engineering programme and future AI programmes.

NVIDIA will offer ANRF grantee institutions complimentary access to NVIDIA AI Enterprise software and specialised technical mentorship through the NVIDIA AI Technology Center. The collaboration will also include AI bootcamps, workshops and hackathons to strengthen India’s AI research ecosystem.

NVIDIA is also partnering with prominent venture capital firms including Peak XV, Z47, Elevation Capital, Nexus Venture Partners and Accel India to identify and fund promising startups of all stages that are building AI solutions for India and international use. More than 4,000 of India’s AI startups are already part of the NVIDIA Inception programme.

Digital transformation

Tapping into NVIDIA AI Enterprise software and NVIDIA Nemotron models, India’s technology leaders are accelerating productivity and efficiency across industries — from call centres to telecommunications and healthcare. Infosys, Persistent, Tech Mahindra and Wipro are leading the way for business transformation, improving back-office productivity and customer services with integrated agentic AI platforms built with NVIDIA AI Enterprise.

- The Wipro WEGA Platform and NVIDIA AI Enterprise are jointly boosting efficiency for call centres, for instance. Already deployed for a major healthcare insurance provider, the system is already reshaping member experiences by enabling service representatives to handle more complex requests, accelerate resolution times, deliver more personalised support, and improve operational efficiencies.

Using production grade, horizontally-scalable NVIDIA NIM microservices and NVIDIA NeMo Guardrails, part of NVIDIA AI Enterprise, the solution includes the performance, governance and safety required in regulated healthcare environments. Similar deployments under way in financial services.

- Tech Mahindra is accelerating the shift toward AI-assisted network operations with a new platform built in collaboration with NVIDIA. At the heart of the platform is a large telco model (LTM) that generates prioritised, data‑driven recommendations to help field technicians rank each fix by its historical success rate across the network. The result is faster, more accurate resolutions — often in a single visit — and a clear path toward level‑4‑plus operational maturity.

- Infosys has developed a small language model (SLM) for coding using the NVIDIA NeMo framework that’s part of NVIDIA AI Enterprise. The SLM works within the Infosys Topaz Fabric to accelerate software delivery while remaining lightweight across on-premises enterprise data centres, cloud environments and even standard desktops.

- Persistent Systems is working with NVIDIA to push early‑stage drug discovery into a new era of speed and scientific fidelity. The collaboration brings together Persistent’s deep life sciences engineering expertise with NVIDIA’s full‑stack accelerated computing platform, empowering researchers in everything from AI experimentation to production‑grade discovery workflows. 

Manufacturing push

India’s largest manufacturers are teaming with global industrial software leaders Cadence, Siemens and Synopsys to build AI factories for design and manufacturing accelerated by NVIDIA AI infrastructure, CUDA-X and Omniverse libraries:

- Reliance New Energy, the clean energy arm of Reliance industries, is expanding its collaboration with NVIDIA and Siemens by combining Siemens’ digital twin technology with NVIDIA Omniverse libraries for faster, more precise simulation and plant design for its next-generation gigafactories.

- Addverb Technologies, an Indian company providing robots and innovative warehouse automation solutions, is using Siemens’ Technomatix portfolio, NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models to create digital twins of its factories and train its quadruped and wheeled humanoid robots in simulation.

- Hero MotoCorp, on the other hand, is utilising Siemens Xcelerator and NVIDIA infrastructure to accelerate the product development lifecycle by enhancing its capabilities in computer-aided engineering, numerical virtual verification and validation.

Synopsys and Cadence’s electronic design automation tools, powered by NVIDIA AI infrastructure and libraries, are already in use by enterprises to enable rapid design iteration and operational intelligence across the energy, automotive and electronics sectors.

- Electrical equipment and home appliances player Havells India is using Synopsys’ Ansys Fluent to accelerate simulation powered by NVIDIA CUDA-X. Havells has obtained 6x faster fluid dynamic simulations, enabling exploration of more design options to optimise airflow and energy efficiencies, and achieve faster time to market.

- L&T Semiconductor’s application of Cadence Spectre X, accelerated by CUDA-X libraries on NVIDIA GPUs, shortens design iterations of next-generation AI chips.

- Tata Consultancy Services (TCS), a global IT services provider, is investing in large-scale AI infrastructure to deliver enterprise solutions at scale. At Tata Motors for instance, TCS converted standard camera feeds into intelligent sensors for automated quality checks and real-time safety compliance. New safety and precision benchmarks have been set through harnessing the NVIDIA Metropolis platform, the NVIDIA Blueprint for video search and summarisation, and digital twins built on Omniverse libraries.

- Tata Consulting Engineers is launching its Cognitive Twin platform, built on NVIDIA Omniverse, to create real-time industrial simulations that link physical assets with digital intelligence across manufacturing, energy and infrastructure. The platform supports both capital project planning and operational optimisation through early-stage simulation and AI-enabled decision-making. Pilot projects are underway with National High Speed Rail Corporation, Torrent Power and the Power Grid Corporation of India.

- Wipro PARI, a leader in industrial automation, is integrating NVIDIA AI infrastructure, Omniverse libraries and the NVIDIA Isaac robotics development platform to deliver solutions for its consumer and automotive customers. This includes real-time simulation and validation of robotic workflows, as well as virtual stress-testing of operations before physical deployment.

India’s tech industry is on track to reach US$500 B in revenues by 2030, up from about US$250 B in 2023, according to IBEF, citing momentum in AI from 38,000 GPUs secured in September. India’s IT and business consulting sector, on the other hand, is projected to reach over US$350 billion this year.