Yotta Data Services is targeting a fundraise of up to $1.5 billion by the end of the current financial year, combining pre-IPO funding with an initial public offering in India. The Hiranandani Group-backed data centre and artificial intelligence infrastructure company is targeting the fourth quarter of FY27 for its IPO, subject to regulatory approvals, as it looks to raise large amounts of capital to expand its AI computing infrastructure.
A substantial portion of the planned $1.5 billion could come through a pre-IPO funding round, with the eventual IPO size potentially reaching about $400 million. Yotta’s latest plans highlight the enormous capital requirements of India’s rapidly expanding AI infrastructure market, where companies are investing heavily in data centres, Nvidia GPUs, cloud platforms and high-performance computing capacity.
Yotta Targets $1.5 Billion Fundraise
Yotta plans to raise a total of up to $1.5 billion through a combination of pre-IPO funding and its proposed India listing.
The company is targeting the fourth quarter of FY27 for the IPO, although the timeline remains subject to approval from the Securities and Exchange Board of India.
Yotta co-founder and CEO Sunil Gupta said the final size of the public offering will depend on how much capital the company raises before the IPO.
| Metric | Details |
|---|---|
| Total planned fundraise | Up to $1.5 billion |
| Pre-IPO funding | Expected to account for a substantial portion |
| Potential IPO size | Up to $400 million |
| Target IPO period | Q4 FY27 |
| Listing market | India |
| Regulatory approval | Subject to SEBI approval |
| Parent group | Hiranandani Group |
The structure gives Yotta flexibility to secure significant growth capital before approaching public-market investors.
Pre-IPO Funding Could Make Up Most of the Raise
Yotta is in discussions with large funds based in the United States and investors with operations in India for the pre-IPO round.
The company has already raised $150 million from non-institutional investors at a valuation of approximately ₹37,000 crore.
The capital was raised as primary funding, meaning the proceeds are intended to strengthen the company’s balance sheet and support expansion rather than provide an exit for existing shareholders.
Yotta’s management expects its valuation to increase as the company adds new customers and expands AI infrastructure.
Why Yotta Is Choosing an India IPO
Yotta had previously explored a US listing, including a potential Nasdaq route.
The company has now shifted its priority toward an Indian IPO.
Management has said the decision reflects the nature of its business, which is focused heavily on sovereign cloud and AI infrastructure built within India.
Government organizations are among the company’s customers, making an Indian capital-market presence strategically attractive.
Listing Strategy
Earlier plan
↓
US/Nasdaq listing
↓
Strategy reconsidered
↓
India’s AI infrastructure market expands
↓
Domestic investor interest increases
↓
India IPO becomes priority
↓
Potential Q4 FY27 listing
The shift also comes as Indian investors increasingly show interest in companies linked to AI, data centres and digital infrastructure.
AI Infrastructure Is Driving the Capital Requirement
The planned fundraise is closely tied to Yotta’s expansion of AI computing capacity.
AI models require enormous amounts of computing power, particularly during training and large-scale inference.
That requires specialized GPUs, high-capacity data centres, networking infrastructure, cooling systems and reliable electricity.
Yotta plans to significantly expand its installed capacity over the next few years.
The company is targeting an increase in data-centre capacity from around 180 MW to approximately 800 MW.
Nvidia GPUs Are at the Centre of the Expansion
Yotta is also expanding its Nvidia GPU deployment.
The company expects to increase the number of Nvidia GPUs installed across its data centres from around 37,000 to approximately 85,000 by the end of FY27.
This represents an increase of roughly 48,000 GPUs.
Yotta’s AI Infrastructure Expansion
Current capacity
↓
~180 MW data-centre capacity
+
~37,000 Nvidia GPUs
↓
FY27 target
↓
~85,000 Nvidia GPUs
↓
Longer-term capacity
↓
~800 MW
The scale of the expansion explains why Yotta requires substantial external capital.
Yotta Has Much Larger Capital Plans
The $1.5 billion fundraise is only one stage of Yotta’s broader expansion strategy.
The company has outlined plans to raise around $8.5 billion by 2029.
Much of that capital will be used to build additional data-centre capacity and purchase the GPUs and infrastructure required to provide AI computing services.
The company’s strategy reflects the capital-intensive nature of the AI infrastructure industry.
Data Centres Are Becoming Critical AI Infrastructure
AI development has created a new source of demand for data centres.
Traditional data centres were largely built around enterprise computing, cloud services and internet applications.
AI workloads require significantly higher computing density.
They also require advanced cooling and networking systems because high-end GPUs consume substantial amounts of power.
AI Data Centre Requirements
High-performance GPUs
+
High-speed networking
+
Advanced cooling
+
Reliable electricity
+
Large data-centre facilities
↓
AI computing capacity
↓
Training and inference services
The demand for these facilities is creating a major investment opportunity for companies such as Yotta.
India’s AI Infrastructure Market Is Expanding
India is seeking to develop domestic AI capabilities while reducing dependence on overseas infrastructure.
Government initiatives, enterprise AI adoption and the growth of Indian AI startups are increasing demand for local computing resources.
Yotta has positioned its Shakti Cloud platform as an AI computing environment designed for Indian organizations.
Its sovereign-cloud capabilities are also aimed at customers that require data to remain within India.
Sovereign Cloud Is a Major Part of Yotta’s Strategy
Sovereign cloud infrastructure is designed to provide organizations with greater control over where their data is stored and processed.
This can be particularly important for government agencies, financial institutions, healthcare organizations and other sectors dealing with sensitive information.
Yotta operates data centres in India and provides sovereign cloud and AI computing services through its platforms.
The company believes geopolitical concerns and data-sovereignty requirements could increase demand for locally controlled infrastructure.
Yotta Has Built Partnerships Around AI
The company has also developed partnerships with major technology organizations.
Yotta has worked with Microsoft on integrating Azure AI services into its Shakti Cloud platform.
It has also announced a strategic collaboration with IBM to bring agentic AI capabilities to Indian enterprises and government organizations through Yotta’s infrastructure.
Such partnerships could help Yotta expand its customer base and strengthen its position in the AI infrastructure ecosystem.
Government Demand Could Support Growth
Government organizations represent an important potential customer segment for sovereign cloud providers.
India is increasingly looking to build domestic capabilities for AI, cloud computing and digital infrastructure.
Yotta’s participation in government-oriented AI initiatives gives it exposure to this demand.
However, government contracts can involve long procurement cycles and stringent technical requirements.
International Customers Are Also Becoming Important
Yotta’s customer mix is increasingly expanding beyond India.
The company has indicated that international enterprises are showing strong demand for AI computing capacity.
Some customers are willing to sign large contracts if GPU capacity can be delivered quickly.
This could provide Yotta with an additional source of revenue as it expands its infrastructure.
AI Demand Is Changing Yotta’s Business Model
Yotta originally operated primarily as a data-centre and cloud infrastructure company.
The growth of AI has created an opportunity to move toward higher-value GPU computing services.
Instead of simply renting physical data-centre space, the company can provide access to specialized computing resources.
Traditional Data Centre
Physical space
+
Power
+
Cooling
↓
Colocation services
AI Infrastructure
Data centre
+
Nvidia GPUs
+
Networking
+
AI cloud platform
↓
GPU-as-a-service
+
AI computing
This transition could increase revenue potential but also requires much greater capital investment.
The IPO Could Fund Further Expansion
A successful public offering would provide Yotta with additional equity capital.
The funds could be used to expand data centres, purchase GPUs, strengthen the balance sheet and support customer deployments.
An IPO could also give the company greater visibility among institutional investors.
However, public-market investors will scrutinize its capital expenditure, debt levels, cash flow and ability to generate sustainable returns from its infrastructure investments.
Profitability Will Be Closely Watched
Yotta reported revenue of approximately ₹890.7 crore and profit of ₹11.1 crore for the financial year ended March 2025, according to company disclosures.
The company’s future financial profile could look significantly different as AI infrastructure capacity expands.
Higher revenue from large AI contracts could improve profitability, but the company will also face substantial depreciation, financing and operating costs as it builds new facilities and purchases GPUs.
The AI Infrastructure Race Is Capital Intensive
Yotta is competing in a market where scale can provide an important advantage.
Data centres require large upfront investments.
GPU procurement also requires significant capital.
Companies that can secure funding and deploy capacity quickly may be better positioned to capture AI demand.
However, excessive capacity expansion could create risks if demand does not grow as quickly as expected.
Competition Is Increasing
Yotta faces competition from several Indian data-centre and AI infrastructure companies.
These include E2E Networks, Neysa, NxtGen, CtrlS and ESDS, among others.
Global cloud providers such as Microsoft, Google and Amazon also have major infrastructure footprints in India.
Yotta’s differentiation is therefore based on its combination of sovereign cloud, AI computing and domestic infrastructure.
GPU Availability Is a Strategic Issue
Access to advanced GPUs remains one of the biggest constraints on AI infrastructure expansion.
Demand for high-performance Nvidia chips remains strong globally.
Companies need not only the capital to purchase GPUs but also sufficient power, cooling and networking capacity to operate them efficiently.
Yotta’s ability to secure GPUs and deploy them quickly will therefore be an important factor in its growth strategy.
Electricity and Cooling Are Major Challenges
AI data centres consume considerably more electricity than conventional facilities.
High-density GPU clusters also generate significant heat.
This means companies need sophisticated cooling systems and reliable power supplies.
India’s ability to expand energy and data-centre infrastructure will therefore be an important factor in the broader AI industry.
India’s AI Push Creates a Large Opportunity
India has ambitions to become a major AI hub.
The country has a large technology workforce, a growing startup ecosystem and increasing demand for AI applications.
However, AI development requires infrastructure.
Companies such as Yotta are attempting to provide the computing layer needed by startups, enterprises and government organizations.
What the Fundraise Means for Yotta
The planned $1.5 billion raise could significantly strengthen Yotta’s financial position.
It would allow the company to accelerate capacity expansion without relying entirely on debt.
The pre-IPO round could also bring large institutional investors into the business before it enters the public markets.
What It Means for India’s Data-Centre Industry
Yotta’s fundraise is another indication of the enormous capital requirements emerging in India’s data-centre industry.
The country is moving from traditional cloud infrastructure toward specialized AI computing facilities.
That transition could attract billions of dollars from domestic and international investors.
What Investors Will Watch
If Yotta proceeds with an IPO, public-market investors will likely focus on:
- Revenue growth
- Profitability
- Cash flow
- Debt
- Capital expenditure
- GPU utilization
- Customer contracts
- Data-centre capacity
- Power costs
- AI revenue
- International customer mix
- Valuation
The company’s ability to convert infrastructure investments into recurring revenue will be particularly important.
Key Facts at a Glance
| Metric | Details |
|---|---|
| Planned total fundraise | Up to $1.5 billion |
| Potential IPO size | Up to $400 million |
| Expected IPO period | Q4 FY27 |
| IPO market | India |
| Latest pre-IPO funding | $150 million |
| Latest reported valuation | About ₹37,000 crore |
| FY25 revenue | ₹890.7 crore |
| FY25 profit | ₹11.1 crore |
| Current data-centre capacity | About 180 MW |
| Longer-term capacity target | About 800 MW |
| Nvidia GPUs targeted by FY27-end | About 85,000 |
| Longer-term fundraising plan | About $8.5 billion by 2029 |
| Main growth focus | AI and sovereign cloud infrastructure |
Infographic: Yotta’s IPO and AI Expansion
YOTTA DATA SERVICES
↓
AI + DATA CENTRE INFRASTRUCTURE
↓
FUNDRAISING TARGET
UP TO $1.5 BILLION
↓
PRE-IPO FUNDING
+
INDIA IPO
↓
POTENTIAL IPO SIZE
UP TO $400 MILLION
↓
TARGET
Q4 FY27
↓
CAPITAL DEPLOYMENT
NVIDIA GPUs
+
DATA CENTRES
+
AI CLOUD
+
SOVEREIGN INFRASTRUCTURE
↓
GPU TARGET
~85,000
↓
DATA-CENTRE CAPACITY TARGET
~800 MW
↓
LONGER-TERM CAPITAL PLAN
~$8.5 BILLION BY 2029
The Bigger Picture
Yotta Data Services’ plan to raise up to $1.5 billion ahead of an India IPO reflects the enormous amount of capital required to build AI infrastructure at scale. The company is targeting up to $400 million from the eventual IPO, with a substantial portion of the total fundraising potentially coming from pre-IPO investors. The money will support an aggressive expansion of data-centre capacity and Nvidia GPU deployments as demand for AI computing grows across India and international markets.
The proposed IPO also represents a broader shift in India’s technology investment landscape. Data centres and AI infrastructure are becoming strategic assets as businesses and governments seek domestic computing capacity, sovereign cloud services and faster access to advanced GPUs. Yotta’s success will ultimately depend on whether it can convert its large infrastructure investments into long-term customer contracts, high GPU utilization and sustainable profitability.
Looking Ahead
Yotta’s immediate priority will be completing its pre-IPO fundraising and preparing its regulatory filings for a potential fourth-quarter FY27 listing. The company will need to demonstrate to investors that its rapid expansion is supported by durable customer demand rather than simply expectations surrounding the AI boom. Its recent $150 million funding round and reported ₹37,000 crore valuation provide an important reference point ahead of the public offering.
Over the longer term, Yotta’s planned expansion to around 800 MW of data-centre capacity and approximately 85,000 Nvidia GPUs would position it as one of India’s largest AI infrastructure providers. The opportunity is substantial, but so are the capital and execution requirements. If AI demand continues to grow and Yotta can maintain high utilization while controlling financing and operating costs, the company’s India IPO could become a significant test of public-market appetite for India’s emerging AI infrastructure sector.
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