L&T, Nvidia announce tie up to make India’s largest AI factory
Mirror Security announces collaboration with Nvidia to power encrypted AI inference using accelerated computing
Indian engineering company Larsen and Toubro (L&T) and US giant Nvidia on Wednesday announced that they would make India’s largest AI factory, which will be at ‘gigawatt-scale’ of computing power.
It would aim to establish India as a global Al service provider, meeting domestic requirements, and would be on a par with global hyper-scalers (massive cloud-service providers) and enterprises.
In a statement, L&T said the proposed venture has been undertaken under the India Al Mission to build sovereign, scalable ‘GW-scale’ Al factory infrastructure.
This Al model will deliver services to Indian as well as global industry, including manufacturing, infrastructure and energy sectors, financial services, healthcare and public services. It is designed to provide standardised, enterprise-grade AI capabilities, enabling predictable performance, security, and time to value in industrial and services use cases.
L&T Chairman & Managing Director SN Subrahmanyan said: “India’s enterprises are ready to move from Al pilots to production-scale deployment. It integrates Nvidia’s Al infrastructure that includes storage platforms, Al enterprise software and its reference architectures, which can enable rapid, secure Al adoption.”
“It will deploy AI-ready data centre infrastructure, advanced computing platforms, and ecosystem enablement required to support large-scale Al workloads across priority sectors,” he said.
The L&T said in statement this venture would support the creation of sovereign Al infrastructure, which allows critical data, models and Al workloads to be built, trained and deployed within India, while remaining interoperable with global ecosystems.
In a separate development, ‘Mirror Security’ announced a collaboration with Nvidia to power encrypted AI inference using accelerated computing. The partnership enables encryption for secure AI inference on sensitive data. It will help in adoption across regulated sectors such as government, financial services, healthcare and other industries globally.
