India’s largest GPU operator targets hyperscaler-scale compute ahead of $1.5B IPO

For the first time, an Indian company that is neither a subsidiary of a US hyperscaler nor backed by sovereign wealth has announced plans to assemble a GPU cluster large enough to be measured in the same breath as dedicated AI factories run by Amazon, Microsoft, and Google. Yotta Data Services, the Hiranandani Group-backed operator that already controls an estimated 60 to 70 percent of India’s installed GPU capacity, made the announcement at GFF Mumbai on September 11, 2026: it plans to deploy 80,000 Nvidia Vera Rubin chips across two new facilities in a $12 billion expansion. The disclosure arrives weeks after Yotta filed plans to raise up to $1.5 billion in a public offering — placing the financial credibility of this infrastructure bet under investor scrutiny at the same moment the company is asking the public markets to price it.

Two Campuses, One Claim

CEO Sunil Gupta disclosed the details in an exclusive interview with MoneyControl on the sidelines of the conference. The plan calls for deploying Nvidia’s latest GPU generations across two facilities: 40,000 Vera Rubin chips at Yotta’s D4 data center under construction in Greater Noida — a 120-megawatt facility — and 40,000 GB300 (Blackwell Ultra) chips at its NM2 campus in Navi Mumbai, an 80-megawatt site currently being fitted out.

“We are fitting out our next data centre in Mumbai, NM2, which is an 80-megawatt data centre,” Gupta said. “We are planning to put around 40,000 NVIDIA GB300 chips in it. We are also starting construction of our D4 data centre in the Greater Noida campus that will be a 120 MW data centre. That building will have 40,000 Vera Rubin chips.”

The $12 billion total investment represents one of the largest single capital commitments by an Indian company in AI infrastructure and arrives at a moment when the country’s technology policy establishment is explicitly treating advanced GPU capacity as a sovereign strategic asset.

What Vera Rubin Actually Is

Nvidia’s Vera Rubin platform — named after the American astronomer whose galaxy rotation curve research confirmed the existence of dark matter — is the successor to the Blackwell Ultra GPU family. Each Rubin GPU is a dual-die chip fabricated on TSMC’s 3-nanometer process. Nvidia’s Vera Rubin product page details the full architecture announced at CES 2026, which entered full production in June 2026.

Each Rubin GPU carries 288 gigabytes of HBM4 memory running at 22 terabytes per second of bandwidth — 2.75 times Blackwell Ultra’s bandwidth of 8 terabytes per second in HBM3e. A single GPU delivers 50 petaflops of FP4 inference performance, roughly 2.5 times the per-chip compute of Blackwell Ultra. In the NVL72 rack-scale configuration — 72 Rubin GPUs and 36 Vera CPUs bound together by NVLink 6, which carries 260 terabytes per second of total all-to-all fabric bandwidth — a single rack delivers 3.6 exaflops of theoretical AI compute peak.

The performance gains come with a commensurate power demand that is forcing a redesign of what “hyperscale data center” means in practice. A single VR200 NVL72 rack draws approximately 190 to 230 kilowatts — compared to 132 to 142 kilowatts for its Blackwell Ultra GB300 NVL72 predecessor and roughly 40 kilowatts for a Hopper-era rack — and requires 100 percent liquid cooling, with no air-cooled fallback. Nvidia entered full production on Vera Rubin in June 2026, with Vera Rubin partner deployments beginning in the second half of this year. Initial deployments have been confirmed at AWS, Google Cloud, Microsoft Azure, Oracle Cloud, CoreWeave, Lambda, Nebius, and Nscale.

What 200 Megawatts Actually Powers

The combined facility capacity Yotta has announced for these two GPU campuses — 120 megawatts at D4, 80 megawatts at NM2, totaling 200 megawatts — is a number worth examining against the hardware it is intended to house. At 80,000 GPUs operating in 72-GPU NVL72 racks, the deployment requires approximately 1,111 rack positions. At the VR200’s rated 190 to 230 kilowatts per rack, those racks draw between 211 and 255 megawatts of power at full load — before cooling overhead is added. Supermicro’s Vera Rubin NVL72 implementations are sized for approximately 227 kilowatts per rack.

This means the 200 megawatt combined capacity is at the mathematical lower bound of what full deployment at peak rack power requires — and that is the total facility power, not just IT load. A data center operating at a power usage effectiveness of 1.2 (industry-leading for high-density liquid-cooled facilities) would make only 167 megawatts of that available for IT equipment. The likeliest resolution is phased deployment: the D4 facility timeline puts go-live at May through August 2027, and the NM2 buildout is currently in progress. Yotta has not disclosed a specific commissioning timeline for the full 80,000-GPU count. What the 200 megawatt figure establishes is a near-term ceiling, not a fixed total capacity — both campuses are sited within larger envelopes (Greater Noida is scalable to 250 megawatts; Navi Mumbai campus has a roadmap to 2 gigawatts).

There is a second timeline risk embedded in the roadmap. Nvidia’s next-generation rack architecture, codenamed “Kyber” and targeting the Rubin Ultra generation, is specified at approximately 600 kilowatts per rack and requires 800-volt DC power distribution infrastructure — a fundamental redesign from the standard AC distribution in current VR200 facilities. Kyber is targeted for the second half of 2027. That means the facilities Yotta is building now for VR200 racks at 190 to 230 kilowatts will require significant power infrastructure upgrades — or will not support the generation after next. Operators that adopt Kyber first will offer a compute-per-megawatt advantage Yotta’s current buildout cannot match without additional capital expenditure. This is the upgrade-cycle math that Yotta’s IPO investors will need to price.

Where This Sits on the Global GPU Map

The scale of Yotta’s announced deployment places it in a small set of operators globally. Nscale, a European cloud provider, announced in September 2026 a 100,000 Vera Rubin GPU cluster at its Barstow, Texas facility — targeted for the second half of 2027. Yotta’s 80,000 GPU plan, if executed, would represent roughly 80 percent of Nscale’s targeted count and would be among the largest announced GPU cluster deployments outside the United States.

The broader India context is relevant to understanding why this matters beyond the raw GPU number. India generates nearly 20 percent of the world’s data but as of 2025 held just 3 percent of global capacity in data centers. India’s total data center capacity has reached approximately 1.7 gigawatts, with capacity projected to expand significantly through 2030. Cumulative investment in India’s data center sector has grown substantially, driven by Google, Microsoft, and AWS commitments totaling more than $67 billion — including Google’s $15 billion AI hub in Visakhapatnam, Microsoft’s $17.5 billion pledge through 2029, and AWS’s target of up to $35 billion by 2030.

What distinguishes Yotta’s announcement from those hyperscaler commitments is the operator’s identity. Google, Microsoft, and Amazon building data centers in India are extending their global infrastructure into a new market. Yotta building the same tier of infrastructure is an Indian domestic company assembling sovereign compute capacity — hardware under Indian operational control, within India’s legal jurisdiction, financed in part by Indian capital markets through the planned IPO.

https://www.techtimes.com/articles/327395/20260912/indias-yotta-plans-80000-vera-rubin-gpus-world-leaks-hacked-customer-server.htm