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From News Desk
India is the nexus of AI innovation this week as the host of the AI Impact Summit, which brings together global heads of state and industry to chart the future of AI.
At the summit, taking place in New Delhi, industry leaders, government agencies, educational institutions and startups are sharing how they’re working with NVIDIA to drive the AI industrial revolution in the country.
These initiatives support the IndiaAI Mission, a government effort that’s infusing India’s AI ecosystem with over USD 1 billion to bolster the nation’s compute capacity and foster the development of sovereign AI datasets, frontier models and applications. The mission also supports AI education, startup innovation and frameworks for trustworthy AI.
To achieve its AI ambitions, India is investing heavily in its computing infrastructure. 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 next‑generation Cloud providers Yotta, L&T and E2E Networks to deliver advanced AI factories to meet India’s growing need for AI compute and enable it to develop AI models and services that drive innovation.
- Yotta is a hyperscale datacentre and Cloud provider building large‑scale sovereign AI infrastructure for India, branded as Shakti Cloud, powered by over 20,000 NVIDIA Blackwell Ultra GPUs. Its campuses in Navi Mumbai and Greater Noida deliver GPU‑dense, high‑bandwidth AI cloud services on a pay‑per‑use model, designed to make advanced AI training and inference affordable and compliant for Indian enterprises and public sector customers.
- E2E Networks is building an NVIDIA Blackwell GPU cluster on its TIR platform, hosted at the L&T Vyoma Datacentre in Chennai. The TIR Cloud compute platform will feature NVIDIA HGX B200 systems and NVIDIA Enterprise software as well as NVIDIA Nemotron open models to supercharge sovereign development across agentic AI, healthcare, finance, manufacturing and agriculture.
India’s AI Cloud infrastructure will host workloads as well as manufacture intelligence for model training, fine-tuning and high‑scale inference. Capacity within these datacentres will be reserved for model builders, startups, researchers and enterprises to build, fine-tune and deploy AI in India.
Further expanding access to NVIDIA AI infrastructure in India, Netweb Technologies is launching its 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 Centre Pillar — is to develop and deploy foundation models trained on India-specific data and domestic AI infrastructure.
For a nation as multilingual as India, frontier AI models are a powerful tool to help its more than 1.4 billion people interact with technology in their primary language.
Organisations across the country are building AI applications with NVIDIA Nemotron to support public-sector services, financial systems and enterprise operations in multiple languages.
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