L&T, Vyoma and BharatGen unite to build an end-to-end indigenous AI stack from silicon to cloud
India is taking a decisive leap toward AI self-reliance with a landmark collaboration between L&T Semiconductor Technologies, Larsen & Toubro-Vyoma, and BharatGen Technology Foundation to build a sovereign AI compute platform designed, developed, and deployed within the country.
Formalized through a Memorandum of Understanding (MoU) in Mumbai, the initiative marks a strategic shift in India’s AI journey from consumption to ownership. It aims to integrate three critical layers of the AI ecosystem: semiconductor design, foundational AI models, and hyperscale data centre infrastructure.
At a time when global AI leadership increasingly depends on control over the full stack, this collaboration positions India to reduce reliance on external technologies while strengthening national capabilities in critical digital infrastructure.
“We are building the compute backbone for India’s AI future.” – Sandeep Kumar
Building the Stack: From Chips to Intelligence
At the foundation of the initiative is silicon innovation led by L&T Semiconductor Technologies (LTSCT). The company will design and develop custom AI chips including ASICs and xPU platforms optimized for sovereign workloads such as multilingual large language models (LLMs), multimodal AI systems, and high-performance inference tasks.
These processors are expected to deliver improved performance-per-watt, lower latency, and enhanced security key requirements for deploying AI at national scale.
On the infrastructure front, Larsen & Toubro-Vyoma will provide AI-ready data centre capabilities, including hyperscale facilities, orchestration frameworks, and managed cloud environments. Its 30 MW data centre in Tamil Nadu is among the key assets that will support large-scale AI workloads.
“Scaling sovereign AI needs tight integration across layers.” – Seema Ambastha
Completing the stack is BharatGen Technology Foundation, which will develop and optimize foundational AI models tailored to India’s linguistic diversity and sector-specific requirements. Backed by leading institutions such as IIT Bombay and IIIT Hyderabad, BharatGen will also define representative workloads and co-optimize software frameworks for efficient deployment.
A Unified Approach to Sovereign AI
Unlike fragmented AI initiatives, this partnership emphasizes co-optimization bringing hardware, software, and infrastructure together into a unified, interoperable platform. This approach is seen as critical for scaling AI across a country as complex and diverse as India.
“Hardware, models, and infrastructure must evolve together,” said Ganesh Ramakrishnan.
The collaboration aligns with national priorities under government-backed programs such as those led by the Department of Science and Technology (DST) and MeitY, which are focused on building indigenous AI capabilities and reducing dependency on foreign ecosystems.
“AI must serve India’s languages and national priorities.” – Rishi Bal
From Strategy to Execution
The initiative is structured as a multi-year roadmap, with immediate steps including the formation of joint working groups, definition of technical benchmarks, and development of a phased implementation plan.
Key focus areas include establishing sovereign AI reference architectures, ensuring compliance with national data sovereignty and security requirements, and enabling large-scale deployment across government and enterprise use cases.
Importantly, the platform is designed for real-world impact supporting applications across sectors such as healthcare, finance, manufacturing, and public services, where AI is expected to drive both efficiency and innovation.
A Defining Moment for India’s AI Future
As global competition in AI intensifies, the ability to control the full technology stack from silicon to software is emerging as a critical differentiator. This collaboration represents a significant step in that direction for India.
By uniting semiconductor innovation, AI research, and digital infrastructure under a single vision, the initiative lays the groundwork for a scalable, secure, and sovereign AI ecosystem.
In doing so, it not only strengthens India’s technological independence but also positions the country as a serious contender in the global AI landscape.