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[1]
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 commitments, helping the South Asian country accelerate its efforts to build artificial intelligence capacity. The US chipmaker is collaborating with data center firm Yotta Data Services and AI cloud platform company E2E Networks Ltd., providing them with its advanced Blackwell Ultra graphic processing units, it said Wednesday. E2E shares jumped 20% on Wednesday, bringing its year-to-date gains to more than 50%. Nvidia has turned into something of a kingmaker in the AI industry, with its decisions about which companies get access to its chips supporting -- or dashing -- their aspirations to compete in the emerging technology. The partnerships in India dovetail with Prime Minister Narendra Modi's ambitions to to build the country into a leading AI player. Yotta is building out a facility with just over 20,000 of Nvidia's latest Blackwell semiconductors with plans for investment of more than $2 billion. E2E Networks is also developing services with Blackwell chips in collaboration with Larsen & Toubro Ltd.'s data center unit. 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. India's medium-to-large businesses, its public sector and a deep talent pool mean sustained demand for high-performance compute capacity and revenues. 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 India
[2]
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 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 (MSFT.O), opens new tab and Amazon (AMZN.O), opens new tab expand AI data centre capacity in India, amid rising demand for generative AI services and a push to localise advanced computing infrastructure. The 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 India. The supercluster, expected to go live by August, will be deployed at Yotta's data centre campus near capital New Delhi, with additional capacity 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. Reporting by Surbhi Misra in Bengaluru; Editing by Harikrishnan Nair Our Standards: The Thomson Reuters Trust Principles., opens new tab
[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 cluster. Yotta Data Services is investing $2 billion (Rs 16,600 crore) to deploy Nvidia's latest AI chips in its Noida hyperscale data center campus, expected to go live by August this year. This marks the first-ever deployment of Nvidia's Blackwell B300 graphics processing units (GPUs) in India to create one of Asia's largest AI superclusters, Sunil Gupta, chief executive of Yotta, told ET. Alongside this, Nvidia will anchor Asia's first DGX Cloud supercluster within Yotta's infrastructure, consuming nearly half of the new GPU capacity under a four-year contract valued at about $1 billion, Gupta said. "Nvidia is creating one of Asia's largest DGX Cloud clusters on our supercluster. They will deploy about 10,300 GPUs to serve their global APAC customers and run their own models and services," he said. A substantial portion of the remaining capacity will be dedicated to India's national AI Mission. "There are more than 500 applications from startups to access affordable compute. Many have not received GPUs yet. There is huge pressure on capacity. This expansion will increase India's compute capacity almost five to six times," he said. The infrastructure will support initiatives such as Bhashini, Sarvam, BharatGen and Soket, which are building foundational Indian-language AI models. With this deployment, Yotta's total GPU footprint will rise sharply. The company plans to scale from about 40,000 GPUs today to more than 75,000 GPUs over the next two years.
[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 geographies capable of hosting frontier-scale AI infrastructure. In a significant development reflecting strengthening India-U.S. technology alignment, NVIDIA will establish one of APAC's largest NVIDIA DGX Cloud cluster within Yotta's HGX B300 Blackwell Ultra supercluster, leveraging Blackwell Ultra GPUs under a four-year engagement valued at over $1 billion. NVIDIA DGX Cloud has been utilizing Yotta's GPU infrastructure over the past year, and this expanded deployment scales that relationship in line with regional and global demand growth. The collaboration reflects a broader shift in global AI compute supply chains, where advanced AI infrastructure is increasingly distributed across trusted regions. India's emergence as a major AI infrastructure node reinforces strategic technology collaboration between India and the United States and strengthens shared priorities around secure, high-performance AI ecosystems. Yotta's NVIDIA Blackwell supercluster is built on NVIDIA reference architecture and integrates 800 Gbps NVIDIA Quantum-X800 InfiniBand networking, advanced liquid-cooling systems, and over 40 petabytes of high-performance parallel file-system storage. The platform is engineered to support trillion-parameter foundation model training and high-throughput inference workloads capable of handling multi-million simultaneous prompts. Yotta's AI Factories are based on NVIDIA Reference Architecture to deliver fastest time to market, lowest cost per token and highest returns. Global AI model developers, enterprises, and governments are assured that the infrastructure can reliably support frontier-scale training and mission-critical inference deployments. Beyond infrastructure scale, Yotta is augmenting its Shakti Studio AI platform with NVIDIA Nemotron open models, NVIDIA NIM microservices, and access to the full NVIDIA AI Enterprise software suite . Through Shakti Studio, developers in India gain access to the NVIDIA Nemotron family of truly open models -- including model weights, training datasets, and recipes -- enabling transparent fine-tuning, customization, and sovereign AI development at scale. The availability of open architectures alongside optimized inference microservices ensures that startups, enterprises, and public institutions can build secure, production-grade AI applications on world-class infrastructure. Alongside the NVIDIA's DGX Cloud deployment, Yotta is committing over 10,000 NVIDIA B300 GPUs from the AI supercluster to the IndiaAI Mission, supporting sovereign Indian foundation model development, research institutions, startups, and population-scale public AI platforms. This parallel allocation ensures that domestic AI priorities advance alongside global AI capacity expansion. For India, the development aligns with the national vision of building AI "from India, for India, and for the world." Access to large-scale Blackwell infrastructure within the country reduces structural dependence on offshore compute and enables Indian model builders and enterprises to scale confidently. It allows AI products conceived in India to serve both domestic and international markets from infrastructure located within India -- advancing India's ambition to evolve from a technology consumer to a technology creator. The supercluster will be deployed at Yotta's 60 MW D2 hyperscale Data Centre within its Greater Noida DC campus, scalable to 250 MW, and supported by Yotta's Navi Mumbai DC campus, scalable to 2 GW. With integrated extra-high-voltage substations, dedicated power distribution infrastructure, green energy sourcing, and vertically integrated engineering capabilities across data centres, cloud, managed services and GPU compute, Yotta 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 accelerates. The combined capital commitments, over $2 billion in Blackwell Ultra infrastructure deployment and a over $1 billion multi-year contracted engagement for DGX Cloud capacity -- reflect sustained demand for high-performance AI infrastructure in the region and provide meaningful long-term demand visibility. Darshan Hiranandani, Co-Founder & Chairman, Yotta Data Services, said, "AI infrastructure is becoming foundational economic infrastructure. This NVIDIA Blackwell Ultra supercluster reinforces India's position in the global AI value chain. Our capital strategy is focused on building scalable infrastructure that serves both national priorities and international AI demand." Sunil Gupta, Co-Founder, MD & CEO, Yotta Data Services, added, "India's AI ambition requires sustained, high-performance compute at scale. By combining Blackwell Ultra infrastructure with open models like NVIDIA Nemotron and the full NVIDIA AI stack, we are enabling developers to build sovereign, globally competitive AI applications from India." Jensen Huang, co-founder and CEO, NVIDIA, NVIDIA, said, "India is emerging as one of the world's most important AI markets, driven by extraordinary talent and a bold national vision. Yotta's deployment of one of the largest NVIDIA Blackwell Ultra superclusters creates advanced AI infrastructure capable of training frontier-scale models and delivering AI at population scale. Expanding AI Factory capacity in India strengthens NVIDIA's regional footprint while supporting India's ambition to build secure, sovereign, and globally competitive AI." Yotta currently operates over 10,000 NVIDIA GPUs live in production, with another 8,000 NVIDIA GPUs going live within the next quarter, followed by the deployment of 20,736 Blackwell Ultra GPUs by August 2026. The company has outlined a roadmap to scale beyond 80,000 NVIDIA GPUs by FY27, supported by phased infrastructure expansion and long-term capacity planning. At scale, this trajectory positions India not merely as a high-growth AI market, but as a structurally significant compute hub within the global AI ecosystem -- where sovereign capability, open innovation, disciplined capital deployment, and strategic international collaboration converge. India is not just participating in the AI revolution. It is building the infrastructure that will power its next phase. Yotta Data Services is a sovereign cloud infrastructure and platform services provider, offering cloud, AI cloud solutions, data center hosting, connectivity, and cybersecurity services; cyber-workspaces; managed applications; and a wide range of managed IT services. Yotta operates its cloud regions at its hyperscale data center parks in Panvel (Navi Mumbai) and Greater Noida (Delhi NCR). Yotta's homegrown, open-source-based, feature-rich Sovereign hyperscale cloud, Yntraa, is MeitY empanelled (VCC and GCC) and is also deployed in large government-owned CSPs on a white labelled / PPP model. In addition, Yotta has launched Shakti Cloud, a cutting-edge platform that leverages advanced AI capabilities, providing enterprises with a comprehensive suite of AI services, including AI labs, AI workspaces, serverless inferencing, and access to NVIDIA's NIM services, alongside Kubernetes clusters with GPU resources. Yotta is the only NVIDIA Cloud Partner (NCP) across the APAC region to be part of the NVIDIA Exemplar cloud initiative and is one of only five Reference Architecture Platform NCPs across the world.
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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 the data center. Yotta Data Services has decided to establish the AI Hub in Greater Noida near New Delhi. It will start operations by August 2026. The company will also use support from its Navi Mumbai data center. The Greater Noida campus currently has a 60 MW capacity and can expand to 250 MW in the future.
[6]
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 Ultra processors in an AI "supercluster.--" a large collection of specialized processors aimed at running advanced models. Get more key updates on top AI companies by upgrading to InvestingPro Nvidia will establish a cloud cluster within Yotta's infrastructure under a four-year deal worth over $1 billion, Yotta said. Yotta said it will also offer access to Nvidia's AI enterprise software suite through its Shakti Studio AI platform. The supercluster is expected to go live by August and will be deployed at Yotta's data centre campus near the Indian capital of New Delhi. The company's facility in Mumbai will provide additional capacity for the centre, Yotta said. Yotta was founded by Indian real estate conglomerate Hiranandani Group, and operates two major data centre campuses in the country. The company had in early-2026 scrapped plans to list in the U.S. through a merger with a special purpose acquisition company, and is seen pursuing an Indian public offering by 2027.
[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 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 centre capacity in India, amid rising demand for generative AI services and a push to localise advanced computing infrastructure. The 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 India. The supercluster, expected to go live by August, will be deployed at Yotta's data centre campus near capital New Delhi, with additional capacity 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. (Reporting by Surbhi Misra in Bengaluru; Editing by Harikrishnan Nair)
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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 to deploy one of Asia's largest NVIDIA Blackwell Ultra AI superclusters in India, anchored by over 20,000 next-gen GPUs and backed by a capital commitment exceeding $2 billion. Expected to go live by August 2026, the deployment will sit at the heart of Yotta's hyperscale data centre ecosystem and positions India firmly among the few global regions capable of hosting frontier-scale AI compute within its borders. The significance here goes beyond raw silicon. NVIDIA will also establish one of the largest DGX Cloud clusters in the Asia-Pacific region within Yotta's infrastructure under a four-year engagement valued at over $1 billion. Together, these moves signal a deeper India-US technology alignment and a structural shift in global AI compute supply chains, where trusted regions like India are emerging as distributed hubs for advanced model training and inference. For India's sovereign AI ambitions, this means reduced dependence on offshore compute and the ability to build, train, and deploy globally competitive models from infrastructure physically located within the country. Also read: Zero tax, $200 billion dreams: India wants to power world's AI infrastructure At the heart of the announcement is scale - on almost every axis imaginable. Yotta will deploy 20,736 liquid-cooled NVIDIA Blackwell Ultra GPUs, forming one of Asia's largest AI superclusters with a total infrastructure investment exceeding $2 billion. This system is expected to go live by August 2026, marking one of the fastest large-scale AI compute rollouts globally. The deployment is centred on Yotta's 60 MW D2 data centre at its Greater Noida hyperscale campus, which is scalable to 250 MW, with additional capacity from its Navi Mumbai campus, designed to scale to a massive 2 GW. Together, these facilities form the backbone of what could become one of the world's most significant AI compute corridors. NVIDIA's role is equally substantial. The company has signed a four-year engagement worth over $1 billion to establish one of APAC's largest DGX Cloud clusters inside Yotta's Blackwell-powered infrastructure. This builds on an existing relationship where NVIDIA DGX Cloud has already been utilising Yotta GPU infrastructure over the past year, now expanding in line with surging regional demand. Also read: Yotta to Adani: India building sovereign, frontier AI with Global South relevance On the technical front, the supercluster will integrate 800 Gbps NVIDIA Quantum-X800 InfiniBand networking, advanced liquid cooling, and more than 40 petabytes of high-performance parallel storage. It is engineered to handle trillion-parameter model training and multi-million concurrent inference prompts, underscoring its frontier-scale ambitions. Crucially for domestic ecosystem development, Yotta is committing over 10,000 NVIDIA B300 GPUs from the supercluster to the IndiaAI Mission, enabling sovereign foundation model development and research. This is all in addition to what Yotta already operates in India - 10,000+ NVIDIA GPUs in production, with another 8,000 GPUs going live within the next quarter. By FY27, Yotta plans to scale beyond 80,000 NVIDIA GPUs, with a long-term roadmap capable of exceeding one million GPUs over the next three to five years. "India's AI ambition requires sustained, high-performance compute at scale," said Sunil Gupta, Co-Founder, MD & CEO, Yotta Data Services. NVIDIA's Jensen Huang framed the strategic significance succinctly: "India is emerging as one of the world's most important AI markets." This announcement isn't a surprise, just long overdue. If data is the new oil, then compute is the refinery. And India, it seems, is building both.
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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 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
4
. 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
1
. 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
.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
2
. 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
.
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
4
. The platform is engineered to support trillion-parameter foundation models training and high-throughput inference workloads capable of handling multi-million simultaneous prompts4
.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
4
. 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
.
Source: Analytics Insight
The infrastructure will support initiatives such as Bhashini, Sarvam, BharatGen and Soket, which are building foundational Indian-language AI models
3
. 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
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
2
. 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
1
. 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
4
. 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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