Yotta Data Services invests $2 billion to build Asia's largest AI hub with Nvidia Blackwell chips
8 Sources
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Nvidia Boosts India AI Buildout as E2E, Yotta Get Advanced GPUs
The partnerships dovetail with Prime Minister Narendra Modi's ambitions to build the country into a leading AI player, with Yotta and E2E Networks developing facilities and services with Nvidia's chips. Nvidia Corp. is deepening its India push with a series of local partnerships and infrastructure
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Indian data center firm Yotta to build $2 billion AI hub with Nvidia's Blackwell chips
Feb 18 (Reuters) - Indian data centre company Yotta Data Services said on Wednesday it will build one of Asia's largest AI computing hubs using Nvidia's (NVDA.O), opens new tab latest Blackwell Ultra chips, in a project costing more than $2 billion. The project includes a four-year engagement
[3]
Yotta spends $2 billion to deploy top Nvidia chips
Yotta Data Services is investing $2 billion to install Nvidia's latest AI chips at its Noida hyperscale data centre, going live by August. This will be India's first deployment of Blackwell B300 GPUs and one of Asia's largest AI superclusters. Nvidia will also build Asia's first DGX Cloud
[4]
Yotta to Deploy One of Asia's Largest NVIDIA Blackwell HGX B300 Superclusters with Over 20,000 NVIDIA Blackwell Ultra GPUs
Yotta Data Services today announced it will deploy 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs, forming one of Asia's largest AI superclusters. The deployment represents an investment exceeding $2 billion and is expected to go live by August 2026, positioning India among a select group of
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Yotta Data Services to Invest $2B in Massive AI Hub Powered by NVIDIA Blackwell GPUs
DGX Cloud Deal Tops $1B as Yotta Data Services Builds India AI Hub With 40PB Storage and Liquid-Cooled Systems Yotta Data Services has announced plans to build a large AI hub in India. The company will invest more than $2 billion in this project. The latest NVIDIA Blackwell Ultra GPUs will power
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India's Yotta plans $2 bln AI processing hub with Nvidia's Blackwell Ultra chips By Investing.com
Investing.com-- Indian artificial intelligence firm Yotta Data Services said on Wednesday it will invest over $2 billion to build an AI computing hub using Nvidia's latest Blackwell Ultra chips. The company said in a statement it will deploy 20,736 liquid-cooled NVIDIA (NASDAQ:NVDA) Blackwell
[7]
Indian data center firm Yotta to build $2 billion AI hub with Nvidia's Blackwell chips
Feb 18 (Reuters) - Indian data centre 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
[8]
Yotta's 2 billion dollar NVIDIA supercluster puts India on global AI map
HIGHLIGHTS India to host one of Asia's largest AI superclusters Over 20,000 Blackwell GPUs power sovereign AI ambitions $2 billion Yotta-NVIDIA investment boosts India's AI compute India's AI infrastructure race just found its most serious hardware backbone. Yotta Data Services has announced plans
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Yotta Data Services is deploying over 20,000 NVIDIA Blackwell Ultra GPUs in a $2 billion investment that will create one of Asia's largest AI superclusters. The facility, going live by August 2026 in Greater Noida, includes a $1 billion four-year DGX Cloud engagement and marks India's first deployment of Blackwell B300 GPUs, positioning the country as a major AI infrastructure node.
Yotta Data Services anchors India AI infrastructure with massive GPU deployment
Yotta Data Services announced it will deploy 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs at its Greater Noida data center campus near New Delhi, representing an investment exceeding $2 billion
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. This marks India's first deployment of Blackwell B300 Graphics Processing Units (GPUs) and positions the country among a select group of geographies capable of hosting frontier-scale AI infrastructure3
. The Indian data center firm expects the supercluster to go live by August 2026, creating one of Asia's largest AI superclusters2
.
Source: Digit
The collaboration between Yotta Data Services and Nvidia strengthens as the chipmaker deepens its India push with local partnerships, helping the South Asian country accelerate efforts to build AI compute capacity
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. Nvidia is also collaborating with AI cloud platform company E2E Networks Ltd., providing them with advanced Blackwell Ultra graphic processing units1
. E2E Networks shares jumped 20% following the announcement, bringing year-to-date gains to more than 50%1
.DGX Cloud cluster anchors $1 billion four-year engagement
In a significant development, Nvidia will establish one of Asia-Pacific's largest DGX Cloud cluster within Yotta's infrastructure under a four-year engagement valued at over $1 billion
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. According to Sunil Gupta, chief executive of Yotta Data Services, Nvidia will deploy approximately 10,300 GPUs to serve their global APAC customers and run their own models and services . This means nearly half of the new GPU capacity will be consumed by Nvidia's DGX Cloud operations, which has been utilizing Yotta's GPU infrastructure over the past year4
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Source: Reuters
The supercluster is built on Nvidia reference architecture and integrates 800 Gbps Quantum-X800 InfiniBand networking, advanced liquid cooling systems, and over 40 petabytes of high-performance parallel file-system storage
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. The platform is engineered to support trillion-parameter foundation models training and high-throughput inference workloads capable of handling multi-million simultaneous prompts4
.Sovereign Indian AI development receives major capacity boost
A substantial portion of the remaining capacity will be dedicated to the IndiaAI Mission, with Yotta committing over 10,000 NVIDIA B300 GPUs from the supercluster to support sovereign Indian foundation model development, research institutions, startups, and population-scale public AI platforms
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. Sunil Gupta noted that more than 500 applications from startups are waiting to access affordable compute, with many yet to receive GPUs3
. This expansion will increase India's compute capacity almost five to six times, he said3
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Source: Analytics Insight
The infrastructure will support initiatives such as Bhashini, Sarvam, BharatGen and Soket, which are building foundational Indian-language AI models
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. Yotta is also augmenting its Shakti Studio AI platform with NVIDIA Nemotron open models, NIM microservices, and access to the full NVIDIA AI Enterprise software suite4
. These partnerships dovetail with Prime Minister Narendra Modi's ambitions to build India into a leading AI player1
.Related Stories
Strategic positioning amid global AI competition intensifies
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
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. The $2 billion investment also comes amid US export controls that have reshaped global supply chains for advanced AI chips, prompting companies to deepen partnerships in markets such as India2
.For Nvidia, though India's currently a sliver of its overall sales, the world's most populous country offers scale and strategic positioning as the race for global AI leadership intensifies
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. India's medium-to-large businesses, its public sector and a deep talent pool mean sustained demand for high-performance compute capacity and revenues1
. Rival Advanced Micro Devices Inc. this week said it will offer its Helios data center blueprint and will work with outsourcer Tata Consultancy Services Ltd. to support up to 200 megawatts of AI infrastructure capacity in India1
.The supercluster will be deployed at Yotta's 60 MW D2 hyperscale data center within its Greater Noida DC campus, scalable to 250 MW, and supported by Yotta's Navi Mumbai DC campus, scalable to 2 GW
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. With this deployment, Yotta's total GPU footprint will rise sharply, with plans to scale from about 40,000 GPUs today to more than 75,000 GPUs over the next two years3
. The company has established a long-term platform capable of scaling beyond one million GPUs within the next three to five years as India's AI ecosystem accelerates4
.🟡 teasing_note=🟡I have analyzed the provided news summary and the available images. I have selected three relevant images and placed them strategically within the summary according to the specified rules.The selected images are:
ar-124169: Features NVIDIA CEO Jensen Huang and a Yotta executive at an "AI IMPACT SUMMIT INDIA 2026".ar-124153: Shows Jensen Huang holding an Nvidia Blackwell chip.ar-124208: Displays the Yotta logo on a smartphone with data center racks in the background.
These images were chosen for their direct relevance to the corporate partnership, the specific technology being deployed, and the company/infrastructure involved. Their placement aims to enhance comprehension and engagement at key points in the narrative.
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