Indian data center firm Yotta to build $2 billion AI hub with Nvidia’s Blackwell chips

February 18 (Reuters) – Indian data center company Yotta Data Services said on Wednesday it will build one of Asia’s largest AI computing hubs using Nvidia’s latest Blackwell Ultra chips, in a project costing more than $2 billion.

The project includes a four-year engagement worth over $1 billion under which Nvidia will establish one of Asia-Pacific’s largest DGX Cloud clusters within Yotta’s infrastructure, the company said.

The move comes as global cloud providers including Microsoft ⁠and Amazon expand AI data center capacity ​in India, ‌amid rising demand for generative AI services and ⁠a push ​to localize advanced computing infrastructure.

The investment also comes amid US export controls that have reshaped global supply chains for advanced AI chips, promoting companies to deepen partnerships in markets such as India.

The supercluster, expected to go live by August, will be deployed at Yotta’s data center campus near capital New Delhi, with additional capability from its facility in India’s financial capital Mumbai.

Yotta, part of ​Indian billionaire Niranjan Hiranandani’s real estate group, is a partner firm for Nvidia ​in India and runs three ‌data center campuses in Mumbai, ​Gujarat and near New Delhi.

Nvidia on Tuesday said it has signed a multi-year deal to sell Meta Platforms millions of its current and future artificial intelligence chips, including central processing units that compete with products from Intel and Advanced Micro Devices.

Nvidia did not reveal a value for the deal, but said it includes its current Blackwell chips as well as its upcoming Rubin AI chips. It also includes…

Nvidia introduced those central processors, based on technology from Arm Holdings, as companions to its AI chips beginning ​2023. But the announcement Tuesday indicated that Nvidia aims to push those chips for emerging fields such as running AI agents as well as into markets for processors used in workday technical tasks such as running databases. Nvidia’s announcement also comes as Meta ​is d…

Ian Buck, the general manager of Nvidia’s hyperscale and high-performance computing unit, said that Nvidia’s Grace central processors have shown that they can use half the power for some common tasks such as running databases, with more gains expected for the next generation, Vera.

It actually continues down that path and makes it an excellent data center-only CPU for ​those high-intensity data processing ​back-end operations,” Buck said. “Meta has already had a chance to get on Vera and run some of those workloads. And the results look very promising.” While Nvidia has never disclosed its sales to Meta, it is widely believed to be among four customers that made up 61% of …

Key Project Details

The project includes deploying over 20,000 liquid-cooled Nvidia Blackwell Ultra processors to create a large AI supercluster. As part of a four-year agreement exceeding $1 billion,Nvidia will establish one of the Asia-Pacific’s largest DGX Cloud clusters within Yotta’s facility, utilizing approximately 10,300 of these GPUs for its global clients. The supercluster is expected to be operational by August 2026, primarily located at Yotta’s campus in Greater Noida, with additional capacities in Mumbai.
Investing.com India


Strategic Context

This expansion is anticipated to significantly increase India’s AI computing capacity. A substantial portion of this capacity is assigned to the IndiaAI Mission to support domestic startups and sovereign AI initiatives. Yotta, currently holding a significant share of India’s GPU computing capacity, is seeking to raise $1 billion to support this and future expansions, aiming to increase its GPU count significantly by FY27 and potentially pursue an Indian IPO within the current financial year.

Indian data center company Yotta Data Services has announced plans to invest approximately $2 billion to construct a large-scale artificial intelligence (AI) hub powered by advanced chips from Nvidia. The project marks one of the most significant AI infrastructure investments in India to date and signals the country’s growing ambition to become a global leader in AI computing capability.

The proposed AI hub will use Nvidia’s latest-generation Blackwell GPUs,

which are specifically designed to handle high-performanceAIworkloads, including large language models, generative AI systems, data analytics, and enterprise AI applications. These chips are built to deliver faster processing speeds, improved energy efficiency, and enhanced scalability compared to earlier architectures. By integrating Blackwell GPUs into its infrastructure, Yotta aims to provide cutting-edge AI computing power to enterprises, startups, research institutions, and government agencies throughout India and abroad.

The $2 billion investment reflects the rising demand for AI-ready data centers as industries rapidly embrace automation, machine learning, and generative AI technologies. From financial services and healthcare to e-commerce and manufacturing, businesses are increasingly relying on AI to optimize operations, customize services, and gain competitive advantages. However, advanced AI models require massive computing resources, and local infrastructure development reduces reliance on overseas cloud providers.

Industry analysts see Yotta’s expansion as a strategic move aligned with India’s broader digital transformation goals. The government has been actively promoting semiconductor manufacturing, AI innovation, and data localization policies to reinforce technological independence. Building a domestic AI hub powered by high-end GPUs positions India as a serious contender in the global AI race, particularly as countries compete to secure access to advanced semiconductor technologies.

The new AI hub is also expected to generate economic benefits, including job creation in cloud computing, data engineering, cybersecurity, and AI investigation. Large-scale data centers require qualified professionals for infrastructure management, software development, and hardware optimization. Additionally, startups developing AI-based solutions may gain easier access to powerful computing resources, accelerating innovation within the country’s tech ecosystem.

Energy efficiency and sustainability are expected to be key components of the project.

Modern AI data centers consume significant amounts of electricity, especially when running intensive GPU workloads. Companies investing at this scale are increasingly focusing on renewable energy integration, advanced cooling technologies, and optimized power usage to reduce environmental impact. If implemented responsibly, Yotta’s AI hub could set new standards for sustainable AI infrastructure in emerging markets.

The partnership also highlights Nvidia’s growing global influence in AI hardware. As demand for AI accelerators arises worldwide, companies and governments are competing to secure access to next-generation GPU platforms. By collaborating with Nvidia on Blackwell-based systems, Yotta reinforces its position in a highly competitive AI infrastructure market.

Overall, the $2 billion AI hub project represents more than just a data center expansion — it reflects the rapid evolution of India’s digital economy. With powerful AI computing resources being developed locally, companies may soon have faster, more secure, and scalable access to advanced AI capabilities. As global AI adoption intensifies in 2026 and beyond, investments like this are likely to play a pivotal role in shaping the future of technological innovation in India.

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