Several major investors, including Brookfield Asset Management, KKR, and other private equity and institutional investment firms, have engaged in discussions to participate in the funding round. As a result, the company could secure substantial capital to support its expansion plans and strengthen its position in the rapidly growing data centre industry.

Furthermore, the report indicated that the fundraising effort could pave the way for Switch to pursue an initial public offering (IPO), potentially as early as next year. The move would mark a significant milestone for the company as it seeks to capitalize on increasing investor interest in digital infrastructure and artificial intelligence-driven technologies.

According to the report, investment banking giants Goldman Sachs and JP Morgan are working closely with Switch to facilitate the fundraising process and attract potential investors.

Meanwhile, the data centre and server infrastructure sector continues to witness heightened dealmaking activity as businesses expand their artificial intelligence capabilities. Companies across the technology ecosystem increasingly require advanced computing infrastructure, which has significantly boosted demand for data centres and cloud-based services.

CEO Rob Roy founded Switch in 2000, and the company operates from its headquarters in Las Vegas, Nevada. Over the years, Switch has established itself as a key player in the digital infrastructure market by delivering large-scale data centre solutions to enterprise customers.

According to information available on the company’s website, Switch serves several prominent clients, including Nvidia, FedEx, Tesla, and Logitech. These partnerships further reinforce the company’s strong position within the technology and enterprise infrastructure landscape.

Switch’s reported fundraising discussions underscore the growing investor confidence in the global data centre industry, particularly as artificial intelligence adoption accelerates worldwide. With backing interest from major institutional investors and support from leading investment banks, the company appears well-positioned to expand its infrastructure footprint. If the fundraising round succeeds, Switch could strengthen its market leadership and potentially advance toward a highly anticipated IPO in the near future, making it a key company to watch in the evolving AI and digital infrastructure ecosystem.

If the deal materialises, it will more than double Fluidstack’s valuation within a short span, highlighting the rapid surge in demand for AI-focused data center infrastructure. Previously, in December, the company was reportedly raising around $700 million at a $7.5 billion valuation, although it did not officially confirm the closure of that round.

At that time, sources indicated that Situational Awareness, founded by former OpenAI researcher Leopold Aschenbrenner, was leading the round. Additionally, prominent backers included the Collison brothers of Stripe, former GitHub CEO Nat Friedman, and AI investor Daniel Gross.

Subsequently, discussions for the round continued into February, with Google reportedly considering a $100 million investment, as per The Wall Street Journal. These ongoing negotiations underscore the growing competition among investors to back high-potential AI infrastructure providers.

Meanwhile, Fluidstack has attracted significant attention due to its strategic partnerships and large-scale deals. In November, Anthropic announced that it had signed a $50 billion agreement with the startup to build custom-designed data centers in Texas and New York. Unlike hyperscalers such as Amazon Web Services, which cater to diverse computing needs, Fluidstack focuses exclusively on AI-specific infrastructure, thereby offering tailored solutions for high-performance workloads.

This landmark deal significantly boosted Fluidstack’s credibility, especially in the U.S. market, where it was previously less well-known. Although Anthropic continues to rely on Google Cloud and AWS to deliver its Claude AI models, it has increasingly sought greater control over its infrastructure. Similar to OpenAI, Anthropic is scaling rapidly, and this partnership enables it to secure additional computing capacity while maintaining operational flexibility.

As a result of this strategic shift, Fluidstack has realigned its global operations. Originally spun out of the University of Oxford and recognised as a rising player in Europe’s AI ecosystem, the company has relocated its headquarters from the United Kingdom to New York to capitalise on expanding opportunities in the U.S. market. Furthermore, the startup recently withdrew from a major €10 billion AI project in France to sharpen its focus on U.S.-based growth initiatives.

In addition to Anthropic, Fluidstack serves a growing roster of high-profile clients, including Meta, Poolside, and Black Forest Labs. Earlier, the company gained recognition for providing infrastructure support to Mistral, further solidifying its position in the global AI infrastructure market.

Fluidstack’s potential $1 billion funding round and soaring valuation reflect the intensifying demand for AI-driven data center solutions worldwide. As artificial intelligence adoption accelerates, the company aims to emerge as a key player in next-generation cloud infrastructure, thereby attracting significant investor interest and shaping the future of AI computing.

Out of the total planned investment, approximately 50% will be allocated to digital infrastructure. In fact, RMZ stated that it “plans to invest over $35 billion in India over the next five years across co-location data centres, artificial intelligence factories, mixed-use commercial office developments, and a return to residential projects, with funding expected through a balanced mix of debt and equity.”

Moreover, the company is increasingly optimistic about the data centre segment, especially after the Union Budget 2026-27 proposed a 21-year tax holiday for foreign cloud providers using India-based data centres. As a result, the sector has already attracted around $70 billion in committed investments, with an additional $90 billion in announced projects nationwide.

“Roughly half of the $35 billion will go into digital infrastructure. RMZ, in partnership with Colt, a subsidiary of Devonshire, the family office of Fidelity’s Abigail Johnson, is building co-location data centres across Navi Mumbai, Chennai, Visakhapatnam, Hyderabad, and Bengaluru,” the company said.

In the near term, RMZ plans to add significant capacity, including 750 megawatts in Navi Mumbai and between 485 and 500 megawatts in Visakhapatnam, following a formal agreement with the Andhra Pradesh government. Consequently, the group aims to achieve a total of 1.5 gigawatts of co-location capacity in India within five years, backed by a capital investment of $12–$15 billion.

Additionally, RMZ has established a dedicated entity to build AI factory capabilities on top of its existing infrastructure. This initiative will offer GPU-as-a-service solutions to cloud providers and AI companies looking to scale operations in India, thereby strengthening the country’s AI ecosystem.

Meanwhile, the remaining capital will be deployed across commercial real estate, with a strong focus on Global Capability Centres (GCCs). By 2030, India expects to host more than 2,400 GCCs employing over 2.8 million professionals, creating substantial demand for premium office spaces. In line with this trend, RMZ is targeting nearly 20% of annual commercial office absorption nationwide.

Furthermore, the company is diversifying into retail formats built around experiential offerings, luxury business and leisure hospitality, industrial and logistics assets, and its Signature Offices product. This innovative model enables both retail and institutional investors to directly own Grade-A commercial office assets, thereby broadening investment opportunities.

“The way we look at it, we need permanency of capital. And the only way you can get permanent capital is if you tap into the public markets. So all these years, we have built partnerships along with some great sovereign pension funds and strategic investors, and that has gotten us to where we are today,” said Manoj Menda, Co-Founder and Chairman, Supervisory Board, RMZ.

RMZ’s ambitious investment plan underscores its confidence in India’s digital infrastructure and real estate growth story. By combining large-scale data centre expansion, AI capabilities, and diversified real estate development, the company is positioning itself as a key player in the next phase of India’s economic and technological transformation. Additionally, a potential IPO could further strengthen its capital base and accelerate long-term growth.

As part of its pre-IPO strategy, the Mumbai-based company is aiming to raise approximately USD 500 million to USD 600 million. Furthermore, sources indicate that Yotta may file its draft prospectus within the next few weeks, signaling a significant step toward its public market debut.

At the same time, Yotta continues to strengthen its position in the AI infrastructure space. The company operates large-scale data centre facilities and manages one of India’s biggest clusters of Nvidia AI processors, thereby reinforcing its technological capabilities and market relevance.

In preparation for the IPO, Yotta is also engaging with several leading investment banks. These reportedly include the Indian arms of Nomura, Goldman Sachs, ICICI Securities, and Kotak Securities, which may help manage the public offering.

Meanwhile, investor interest in the company appears strong. Yotta has attracted attention from global institutional players, including sovereign wealth funds such as Mubadala Investment Company, along with participation from Indian family offices. This growing interest underscores confidence in India’s rapidly expanding AI and data infrastructure ecosystem.

Additionally, Yotta is positioning itself as a strong domestic alternative in the AI infrastructure landscape. This move aligns with India’s broader push to build sovereign capabilities in artificial intelligence and reduce reliance on global technology giants. Consequently, the company is accelerating its investments in AI compute infrastructure to capitalize on this momentum.

As India continues to emerge as a key hub for data centres and AI-driven investments, Yotta’s expansion strategy and upcoming IPO reflect the sector’s increasing importance.

Yotta Data Services is strategically leveraging market demand, investor interest, and national AI ambitions to strengthen its foothold. If executed effectively, its IPO could mark a significant milestone not only for the company but also for India’s evolving AI infrastructure ecosystem.

To begin with, Lexora Realty Holdings is closely tracking the transformation unfolding around Bengaluru’s Aero City corridor, located near Kempegowda International Airport. The region is steadily evolving into a major aviation-linked business and residential zone, as global aerospace and defence giants such as Airbus, Boeing, Dassault Aviation, Safran and GE Aviation establish operations there and drive substantial job creation in the coming years.

As a result, the area is already witnessing rising demand for office spaces, employee housing, hotels, healthcare facilities, retail centres and educational institutions. Moreover, planned road and metro connectivity, along with Karnataka’s KWIN City initiative, continues to strengthen the region’s development outlook. Urban planners frequently observe that airport-led corridors tend to mature into long-term economic hubs rather than short-lived real estate cycles, further reinforcing the strategic relevance of this zone.

Meanwhile, along India’s western coastline, Kerala’s Vizhinjam Deep Sea Port corridor is emerging as a critical logistics and transshipment hub. Owing to its proximity to key international shipping routes and its natural deep-water advantage, the port has already begun handling large container vessels. Historically, ports of this scale have acted as catalysts for regional transformation, as demonstrated by global trade centres such as Dubai and Singapore.

Consequently, as Vizhinjam expands its operational footprint, surrounding regions across the Nagercoil–Thiruvananthapuram–Kochin belt are expected to experience growth in logistics parks, warehousing facilities, allied industries, tourism infrastructure, and residential development. This expanding ecosystem positions the corridor as a long-term economic engine rather than a single-asset opportunity.

At the same time, eastern India is witnessing rapid evolution through Visakhapatnam’s AI City region in Andhra Pradesh. The area is taking shape as a technology-led and data infrastructure hub, with global technology players such as Google participating in early-stage development. As further data-centre investments materialise, demand is likely to increase for commercial real estate, quality housing, and urban services designed for a skilled workforce.

Similarly, Hyderabad’s proposed Future City corridor represents a carefully planned expansion anchored in innovation, research, and global business infrastructure. Industry observers widely regard such master-planned developments as more resilient and sustainable over the long term compared to unstructured urban sprawl.

Beyond major metropolitan areas, Lexora Realty Holdings is also monitoring developments along the Karnataka–Andhra Pradesh border region, where large-scale renewable energy investments are gaining momentum. Developers are implementing solar and agri-voltaic projects in these zones, combining solar power generation with agricultural activity.

As real estate strategies increasingly shift toward infrastructure-linked development, Lexora’s Vision 2030 roadmap emphasises building assets that retain relevance across multiple economic cycles instead of chasing short-term market trends. Under its ₹300 crore plan, the company intends to develop a diverse mix of infrastructure-aligned assets. These include a 10 MW solar power plant integrated with an agrivoltaic farm in the Karnataka–Andhra Pradesh border region, a 75+ acre logistics park near the Vizhinjam Deep Sea Port, and housing and office developments near Bengaluru’s Aero City corridor, Visakhapatnam’s AI City, and Hyderabad’s Future City corridor.

According to the leadership team of Lexora Realty Holdings, long-term real estate growth will increasingly depend on economic relevance. As Raheesh A, Co-founder of Lexora Realty Holdings Pvt Ltd, stated, “The coming decade will favour regions where infrastructure, employment, and global connectivity come together. Ports, airports, technology hubs, and clean-energy zones are shaping how cities grow. Vision 2030 is built around identifying such regions early and developing assets that match how India will live, work, trade, and generate power.”

In line with this philosophy, Lexora’s strategy focuses on strategic land acquisition, diversification across asset categories, and a strong emphasis on due diligence and documentation, all supported by regionally focused execution teams. The leadership team further highlighted the importance of discipline and planning while operating in emerging corridors. According to them, Indian real estate is steadily moving away from congested city centres toward better-planned infrastructure corridors. They emphasised that clean titles, sustainable development practices, and execution capability will determine long-term success, while assets developed in these regions must remain relevant for decades rather than a single market cycle.

Market observers also point out that infrastructure-driven corridors open up new opportunities for fractional real estate investment platforms. These platforms allow smaller investors to gain exposure to large-scale assets such as logistics parks, commercial offices, and data-centre-linked developments. When developers focus on economically active regions, such investments typically offer more stable demand and balanced long-term value creation.

The Japanese conglomerate may announce an agreement as early as Monday for New York–listed DigitalBridge, the people said, requesting anonymity because the discussions remain private. However, the terms of the potential transaction—part of SoftBank’s broader effort to benefit from the AI-driven surge in digital infrastructure—remain unclear.

That said, the parties have not finalized a deal, and key details, including timing, could still change. Meanwhile, representatives from both SoftBank and DigitalBridge declined to comment.

Following initial reports of the talks on December 5, DigitalBridge’s shares surged 45% in a single day. Prior to that, the stock had fallen 13% this year. As a result, the company now holds a market capitalization of roughly $2.5 billion and an enterprise value of about $3.8 billion, including debt.

At the same time, SoftBank founder Masayoshi Son is intensifying efforts to capitalize on rapidly growing demand for the computing power that supports artificial intelligence applications.

DigitalBridge, led by Chief Executive Officer Marc Ganzi, managed approximately $108 billion in assets as of the end of September, according to its website. Its portfolio includes several major digital infrastructure operators, such as AIMS, AtlasEdge, DataBank, Switch, Vantage Data Centers, and Yondr Group.

Notably, SoftBank has prior experience in the asset management space. In 2017, it acquired Fortress Investment Group for more than $3 billion. Eventually, it sold its stake to a consortium that included Abu Dhabi sovereign wealth fund Mubadala Investment Co. and Fortress Management, completing the transaction in 2024.

Earlier this year, SoftBank announced a $500 billion initiative known as Stargate, in partnership with OpenAI, Oracle Corp., and Abu Dhabi–based MGX, to develop data centers across the US. While Son pledged to deploy $100 billion “immediately,” progress on Stargate has moved more slowly than expected, partly due to disagreements over site locations.

Initially, SoftBank sought project financing from external investors, including insurance companies, pension funds, and investment firms. However, several discussions slowed amid market volatility, uncertainty surrounding US trade policy, and concerns about valuations of AI hardware.

Despite these challenges, OpenAI, Oracle, and SoftBank revealed plans in September to develop five new sites across Texas, New Mexico, and Ohio. Once completed, these facilities will collectively provide up to 7 gigawatts of power capacity—comparable to the consumption of some cities.

Ultimately, SoftBank’s aggressive expansion strategy has required reallocating capital internally to unlock additional funding for its AI and infrastructure ambitions.

The US-based alternative asset manager is evaluating a majority stake, while SoftBank is considering a minority investment, the sources said, requesting anonymity as the talks remain confidential.

Founded in 2023 by Sharad Sanghi and Anindya Das, Neysa Networks provides cloud-computing infrastructure that enables companies to run artificial intelligence (AI) models on demand. The startup has already raised about $50 million from investors such as Z47 (formerly Matrix Partners India) and Nexus Venture Partners, according to details available on its website.

While Blackstone declined to comment on the matter, representatives for SoftBank and Neysa did not respond to requests for comment. Insiders noted that the potential deal could value Neysa at under $300 million, although any incoming investor would likely need to infuse additional capital to support the company’s ambitious expansion plans.

The growing investor interest reflects a global surge in funding for data centers and cloud infrastructure, driven by the booming demand for AI services. Investors worldwide are channeling billions into capital-intensive data ecosystems to power next-generation AI models. However, some experts continue to question whether the sector might be overbuilding capacity ahead of proven, long-term profitability.

If finalized, the deal would mark SoftBank’s first new investment in India in over three years, signaling a potential renewed focus on the country’s fast-growing AI and digital ecosystem. For Blackstone, a transaction with Neysa would further strengthen its digital infrastructure portfolio in India, complementing its existing real estate and infrastructure investments.

In 2024, Amit Dixit, Blackstone’s Head of Private Equity in Asia, had emphasized that data centers remain a key area of growth. The firm already backs Lumina CloudInfra in India and AirTrunk, the Australian data center operator it acquired, which has announced plans to build its next facility in India.

The interest in Neysa comes amid a wave of global data center partnerships. In 2023, Brookfield Infrastructure Partners and Digital Realty teamed up with Reliance Industries Ltd., while Google and Adani Enterprises Ltd. revealed plans just last month to invest $15 billion in Indian data centers, underscoring the massive momentum in the country’s digital infrastructure landscape.

The revised estimate is around $80 billion higher than earlier projections. The company, one of the largest renters of cloud servers globally, now expects to spend over $8 billion in 2025—about $1.5 billion more than its previous forecast earlier this year, the report added.

To rein in mounting expenses, OpenAI is working on developing its own server chips and data center facilities, according to The Information. The company will unveil its first AI chip next year in collaboration with U.S. semiconductor major Broadcom, with plans to use the chip internally rather than sell it commercially, the Financial Times reported.

In July, OpenAI expanded its partnership with Oracle to add 4.5 gigawatts of data center capacity as part of its larger Stargate initiative—an ambitious project worth up to $500 billion and targeting 10 gigawatts, backed by SoftBank.

The company has also brought Google Cloud on board as a computing capacity provider. The Information reported that OpenAI expects its cash burn to more than double to over $17 billion in 2026—$10 billion higher than its earlier forecast—and to rise further to $35 billion in 2027 and $45 billion in 2028.

The company operates 33 AI data centers across the U.S. and Europe, offering access to Nvidia chips, which remain highly sought after by enterprises to train and run large AI models in an increasingly competitive market.

For the second quarter, CoreWeave reported revenue of $1.21 billion, exceeding the $1.08 billion estimate. Its revenue backlog reached $30.1 billion as of June 30, up from $25.9 billion on March 31.

“Demand is humming, but it is the cost of growth that tempered the stock down in aftermarket trading,” said Michael Ashley Schulman of Running Point Capital Advisors.

Operating expenses rose sharply to $1.19 billion in Q2, compared with $317.7 million a year earlier. The net loss stood at $290.5 million, far above analysts’ expectations of $190.6 million, according to LSEG data.

“We are scaling rapidly as we look to meet the unprecedented demand for AI,” CEO Michael Intrator said. “There’s a lot of different pieces that are constrained, but ultimately the piece that is the most significant challenge right now is accessing power shells that are capable of delivering the scale of infrastructure that our clients are requiring.”

CoreWeave reaffirmed the advantages of its $9 billion all-stock acquisition of crypto miner Core Scientific, a move set to secure the firm’s entire 1.3 GW power capacity under contract and its future pipeline. This comes despite opposition from Two Seas Capital, Core Scientific’s largest shareholder, which announced last week it would vote against the sale.

Investor attention has also centered on CoreWeave’s dependence on a few major clients. The company recently expanded contracts with hyperscalers to accommodate both their internal and external AI demand.

“The backlog surge to $30B+ suggests demand visibility well beyond 2025, but the concentration in mega-customers like OpenAI means those relationships remain both the crown jewel and the single point of failure,” said eMarketer analyst Jeremy Goldman.

CoreWeave has witnessed rising interest in AI inference, particularly for models employing chain-of-thought reasoning, which solves problems through logical sequences — a method emphasized by advanced AI labs such as OpenAI.

“The actual quality of the intelligence was improved so much by the chain-of-reasoning models, but it also requires an incredible increase in the amount of computing to be able to drive that level of accuracy,” Intrator said in an interview.

The Livingston, New Jersey-based firm increased its annual revenue forecast to $5.15–$5.35 billion, up from the prior $4.9–$5.1 billion projection. Shares were trading at $133.71 after hours, with the stock having nearly tripled since its March IPO. The company also maintained its annual capital expenditure outlook.

Through this acquisition, CoreWeave will gain access to over a gigawatt of data-center capacity across the U.S., much of which is already supporting its clients’ AI workloads, including training and deployment. The company stated on Monday that by owning more of its supply chain, it can cut out lease-related expenses, lower overall project financing costs, and better secure long-term revenue growth.

Cloud infrastructure companies are rapidly expanding their data center operations to keep up with the surging demand driven by artificial intelligence, sparking a flurry of deals and collaborations across the sector. Just last week, Oracle Corp. and OpenAI announced an agreement to secure 4.5 gigawatts of data-center capacity. Meanwhile, CoreWeave has emerged as a key player in this AI infrastructure boom, with its stock price soaring nearly 300% since its public debut in March—fueled by strong investor interest in AI and high-profile partnerships with major players like Nvidia Corp.

In an interview Monday, CoreWeave Chief Executive Officer Michael Intrator framed the acquisition as part of the company’s strategy to “participate all along the stack,” noting the company’s recent takeover of the AI developer platform Weights and Biases Inc. Intrator said his company will continue to “scour the market and the world for assets that we believe drive our company forward.”

CoreWeave and Core Scientific will need the blessing of regulators. Intrator said he doesn’t expect antitrust issues to surface. “Core Scientific is a small data-center provider relative to the market, and CoreWeave is not one of the hyperscalers,” he said.

According to CoreWeave’s statement, the deal values Core Scientific’s stock at $20.40 per share — a 66% premium over its June 25 closing price of $12.30, the day before news of the advanced talks broke via the Wall Street Journal. As of the most recent close on Thursday, Core Scientific’s shares stood at $18.

“Currently, we pay fees to Core Scientific for hosting as we use their facilities,” Intrator said. “When we acquire them, we will be able to recapture that margin internally,” he said, noting that CoreWeave expects to save $500 million in annual costs by the end of 2027.

The companies expect to close the deal in the fourth quarter of 2025, pending regulatory approvals. Upon completion, CoreWeave stated that Core Scientific shareholders will own less than 10% of the merged entity.

Following the announcement, CoreWeave’s shares dipped 3.4% to $159.51 as of 1:43 p.m. in New York, while Core Scientific’s stock fell 17% to $14.88 — trading over $5 below the offer price, indicating investor skepticism around the deal’s terms.

Core Scientific has long led the Bitcoin mining industry, operating large-scale data centers that use energy-intensive computing systems to generate the original cryptocurrency. However, the company filed for bankruptcy during the crypto market downturn. It later emerged from bankruptcy in January last year, buoyed by a strong Bitcoin recovery and a strategic shift toward AI-focused infrastructure.

Core Scientific became a key infrastructure partner for CoreWeave by utilizing its expansive data center footprint and substantial power access to support AI workloads. Through the acquisition, CoreWeave will gain control of approximately 1.3 gigawatts of data-center capacity from Core Scientific’s network — a scale far exceeding that of most individual U.S. data centers. To put it in perspective, one gigawatt can power around 750,000 American homes.

This deal follows CoreWeave’s earlier move last year, when it proposed a $1 billion acquisition of Core Scientific. At that time, the two companies also entered into a series of 12-year agreements, under which Core Scientific committed to providing 200 megawatts of infrastructure to host CoreWeave’s operations.