India is scaling its artificial intelligence ecosystem through collaborations with NVIDIA, covering compute infrastructure, sovereign model development, research support, and startup enablement. These initiatives align with the government-led IndiaAI Mission, which directs over $1 billion toward expanding domestic AI capacity, datasets, and applications.
The efforts are being highlighted at the AI Impact Summit in New Delhi, where policymakers, enterprises, startups, and academic institutions are outlining how AI infrastructure and open frameworks are being deployed across India.
IndiaAI Mission: Infrastructure and Ecosystem Expansion
The IndiaAI Mission focuses on coordinated priorities that include:
- Expansion of national AI compute capacity
- Development of sovereign datasets and frontier AI models
- Support for AI research and education
- Startup financing and ecosystem growth
- Frameworks for responsible and trustworthy AI
A central component is the IndiaAI Compute pillar, which is building large-scale AI cloud infrastructure powered by tens of thousands of GPUs to support model training, fine-tuning, and high-volume inference. Capacity is reserved for startups, researchers, enterprises, and model developers operating in India.
To support this build-out, NVIDIA is collaborating with domestic cloud and infrastructure providers:
- Yotta is developing sovereign AI infrastructure under its Shakti Cloud platform, powered by more than 20,000 NVIDIA Blackwell Ultra GPUs across facilities in Navi Mumbai and Greater Noida, offering GPU-based AI cloud access on a pay-per-use model.
- E2E Networks is deploying an NVIDIA Blackwell GPU cluster on its TIR cloud platform hosted in Chennai, integrating HGX B200 systems, enterprise software, and Nemotron open models for workloads spanning healthcare, finance, manufacturing, agriculture, and agentic AI applications.
- Netweb Technologies is introducing AI supercomputing systems built on the NVIDIA Grace Blackwell architecture. The GB200 NVL4 platforms — manufactured in India under the Make in India initiative — combine Blackwell GPUs with Grace CPUs for scientific computing, model training, and inference.
Together, these deployments form the foundation of India’s domestic AI compute strategy.
Sovereign and Multilingual AI Model Development
Another core priority of the mission is building foundation models trained on India-specific datasets using domestic infrastructure. Multilingual capability is central to this effort, reflecting India’s 22 constitutionally recognised languages and more than 1,500 additional languages recorded in census data.
Indian organisations are using NVIDIA Nemotron open models and the NeMo framework to develop speech, language, and multimodal AI systems for public services, financial platforms, enterprise automation, and accessibility applications.
The Nemotron ecosystem includes India-focused datasets such as Nemotron-Personas-India, containing 21 million fully synthetic Indic personas generated from publicly available census information. These datasets support large-scale sovereign AI training while maintaining domestic control over development pipelines.
Indian Organisations Building AI Systems
Multiple Indian entities are applying NVIDIA AI frameworks to foundation model training and real-world deployments:
- BharatGen has created a 17-billion-parameter mixture-of-experts model targeting applications in public services, agriculture, security, and cultural preservation.
- Speech and enterprise AI developers are building multilingual communication and automation systems for accessibility, customer service, and workflow management.
- National Payments Corporation of India is exploring NVIDIA-based models to expand multilingual AI support within UPI-driven financial services.
- Sarvam.ai is open-sourcing Indic language foundation models trained using NVIDIA frameworks on domestic GPU infrastructure, supporting enterprise and government use.
These sovereign models can be deployed on NVIDIA-accelerated platforms, including DGX Spark systems now available in India through qualified partners and local manufacturing channels.
Research, Academic, and Startup Ecosystem Support
The IndiaAI Mission also strengthens research and entrepreneurship pipelines through partnerships with academic institutions and investors.
NVIDIA is collaborating with the Anusandhan National Research Foundation to support AI research programs across Indian universities. Participating institutions receive access to enterprise AI software, technical mentorship, and structured training initiatives including bootcamps, workshops, and hackathons.
Startup growth is supported through venture partnerships and the NVIDIA Inception program, which includes thousands of Indian AI startups developing domestic and global applications.
Outlook
India’s continued investment under the IndiaAI Mission signals a long-term effort to expand domestic AI infrastructure, sovereign model development, research collaboration, and startup participation. Ongoing work with NVIDIA supports scalable compute access and open AI frameworks, positioning Indian organisations to build, train, and deploy AI systems while retaining local control over data and infrastructure.