India builds AI factories to transform industries

India’s cloud infrastructure providers and server makers are set to increase their NVIDIA GPU deployment nearly tenfold by the end of 2024, compared to 18 months ago.

This expansion will introduce tens of thousands of NVIDIA Hopper GPUs to establish AI factories — large-scale data centres dedicated to AI production — that will cumulatively deliver nearly 180 exaflops of compute power.

The surge in computing capacity is poised to fuel innovation across sectors such as healthcare, financial services and digital content creation.

Yotta Data Services is offering Indian businesses and researchers access to managed cloud services through its Shakti Cloud platform. It aims to boost generative AI adoption and education by leveraging thousands of NVIDIA Hopper GPUs. The platform integrates the NVIDIA AI Enterprise cloud-native software suite that accelerates data science pipelines and simplifies the development and deployment of sophisticated AI applications. Yotta’s efforts are already benefiting companies such as Innoplexus, Sarvam AI and Zoho, which are developing AI models for Indian languages, drug discovery platforms and enterprise language models, respectively.

Tata Communications is deploying NVIDIA Hopper GPUs extensively to bolster its public cloud infrastructure, supporting a diverse range of AI applications across industries such as manufacturing, healthcare, retail, banking, and financial services. It plans to expand its offerings further when NVIDIA Blackwell GPUs start shipping next year. By integrating NVIDIA’s accelerated computing infrastructure with its global network and AI Studio, Tata Communications seeks to establish a platform that democratises access to AI resources for innovators.

E2E Networks is also expanding its cloud infrastructure to support high-compute tasks such as simulations and real-time AI inference. By utilising NVIDIA Hopper GPUs interconnected with NVIDIA Quantum-2 InfiniBand networking, it provides Indian businesses with access to scalable infrastructure for developing custom AI models. Its clients include AI4Bharat and several startups in the NVIDIA Inception programme.

Netweb is advancing sovereign AI initiatives by expanding its Tyrone AI systems based on NVIDIA MGX architecture. These systems are designed to accelerate enterprise data centre workloads both on-premises and in the cloud. Its collaboration with NVIDIA underscores India’s capability to develop world-class computing infrastructure domestically.

These advancements position India at the forefront of AI-accelerated innovation. By harnessing cutting-edge computing technologies and fostering an environment conducive to AI development, India is creating new opportunities for economic transformation and technological leadership in the coming years.