On November 5, 2026, the Nasdaq composite fell 5.5% after Democrats swept the US midterms, its worst day for US technology stocks since April 2025. South Korea's Kospi dropped 6% the next day as SK Hynix fell 10%. In India, the Nifty 50 rose about 2%, and foreign investors bought $1.6 billion of Indian shares in a single session, their largest one-day purchase in nearly six years, according to exchange data reported by Mint.
Inside that green index, India's neoclouds were moving in opposite directions. ESDS fell from ₹1,864.35 on September 24 to about ₹1,147.25 on November 9. E2E Networks dropped from ₹769 on October 14 to ₹490.50. Over the same stretch, Yotta was signing international contracts, had raised $150 million at a ₹37,000 crore valuation and was preparing a $1.5 billion IPO. The sector had just absorbed a global risk-off shock and a governance crisis at its most important supplier, and it was splitting in two.
The Nvidia side is serious. Nvidia's board opened an independent investigation into CEO Jensen Huang on November 8, after reports of a foreign intelligence effort targeting him. Huang has acknowledged an extramarital affair with a woman alleged to spy for the Chinese government. The board says it has no reason to believe national security or company secrets were compromised. Her alleged intelligence links, and what they mean for Nvidia's China business, remain open.
But the Indian neoclouds getting crushed are the domestic ones, not the ones with most of their customers in the US and Europe. The divergence, not the scandal, is the real fault line in India's neocloud AI investment story.
Domestic neoclouds are absorbing the cost shock
The mechanism is dollar revenue versus rupee revenue. ESDS went to market after the cost of the GPU servers it planned to buy rose from ₹25 lakh to ₹1.8 crore, per Osegi's reporting. E2E reported a 411% year-on-year jump in Q2 revenue, yet its shares roughly halved. Revenue growth alongside a share collapse points to a financing problem, not a demand problem. The next capital raise will be priced by investors who watched the last one fall about 36%.
The demand side is muddled too. The IndiaAI Mission had onboarded over 45,000 GPUs by June 2026 and approved 237 projects with 93.18 lakh GPU hours by August. Sanctioned hours, however, are not consumed hours. The mission used less than half of its ₹10,000 crore FY26 outlay, which affected hardware procurement and deployment timelines, as Neysa noted. Some GPUs sit underused while startups and researchers struggle with fragmented capacity, allocation delays and unsuitable hardware. Juspay, which buys GPUs with its own cash, has been told it will wait three to six months for delivery, according to co-founder and COO Sheetal Lalwani.
A domestic builder therefore faces higher hardware costs, no dollar pricing power and a government buyer that has sanctioned capacity it has not used. That is a margin trap.
How most of Yotta's GPUs ended up serving the US and Europe
Yotta's path was different. Its CEO, Sunil Gupta, describes an early speculative bet: nearly $500 million in 8,000 GPUs in November 2023, when GPUs were virtually unavailable in India. Until February 2026, nearly 70% of its GPUs served India's AI ambitions, supporting Sarvam AI, IIT Bombay and IIT Madras. Many of India's leading models, including those from Sarvam, IIT Bombay, IIT Chennai and Zoho, were trained on Yotta's GPUs with government funding helping accelerate development.
When those training workloads concluded, Yotta moved capacity overseas, where pricing is roughly 50% higher. The customer mix flipped to 75% international and 25% domestic, with Gupta expecting 90:10 by year-end. In his words, "Today, 80 per cent of our GPU capacity is used by customers in the US and Europe, along with a few from the Middle East and Southeast Asia." Gupta also says nearly all new GPU deployment is driven by international customers willing to sign billion-dollar contracts if delivery can be guaranteed within four to five months.
The demand shift is not only geographic. Gupta says the biggest change in India has come over the last three to four months, as AI companies report recurring enterprise revenue and businesses move beyond pilots. He argues inference is where the real opportunity lies.
What the tape and the financing show
The confirmed facts are the market moves: the Nasdaq's 5.5% fall, the Kospi's 6% drop and the $1.6 billion foreign purchase of Indian shares. Foreign investors had sold a record $30 billion of Indian shares between January and October before that reversal, partly because India lacked AI-linked stocks. AI-related companies make up about 16% of MSCI India's value, against 70-80% in Taiwan and Korea, per Goldman Sachs.
The financing backdrop matters more. In July, Nvidia offered neoclouds a revenue-sharing and credit-support model, then paused some deals, according to The Wall Street Journal. US neoclouds such as CoreWeave, Nebius and IREN have been selling off since September on concerns about the sustainability of AI infrastructure spending and their debt loads. Political resistance to US data-centre expansion, visible in the midterms, could slow investment further.
Several things remain unresolved: the intelligence questions around Huang, whether Nvidia's paused deals resume, and whether IndiaAI Mission utilization recovers. Yotta's plans are targets, not results. It intends to spend over $7 billion on AI infrastructure by the end of FY27, expects to scale past 40,000 Blackwell GPUs within four months and around 85,000 by fiscal year-end, and is targeting a $1.5 billion IPO partly to repay debt. It says it is preparing to file its DRHP in the coming months.
Why dollar-revenue neoclouds should hold up
The scandal and the selloff will not sink India's neoclouds uniformly. They will sort them. Yotta's revenue is denominated in dollars, paid by US and European enterprises who pay more. A selloff that compresses US neocloud multiples does not compress Yotta's contract values. If anything, it makes an India-routed, non-US-listed compute provider look relatively cheaper to hold. Its customers are the same cohort hammering CoreWeave and Nebius, which means the demand signal Yotta reads is enterprise inference demand rather than public-market sentiment. Inference is the least sentiment-sensitive part of the stack.
That makes Yotta's IPO a test of whether public investors will pay for AI infrastructure exposure routed through India instead of a leveraged US neocloud. The 90:10 shift also changes what Yotta is. It stops being an Indian AI-mission vendor and becomes an AI infrastructure exporter, with different customer-concentration risk, currency exposure and political exposure to IndiaAI Mission underutilization.
The counterargument is real. Concentration in US and European customers is itself a risk if the US AI capex cycle genuinely breaks. But the November move looks more like a multiple correction than a capex cancellation. Domestic builders have no equivalent escape: they face higher hardware costs, a government compute buyer that has sanctioned but not consumed capacity, and no dollar pricing to offset either.
My call is specific. By late 2027, Yotta completes the 90:10 shift and lists at or above its ₹37,000 crore valuation. At least one domestic-focused Indian neocloud, ESDS or E2E, is forced into a strategic sale or down round, provided GPU costs stay well above 2023 levels and IndiaAI outlay utilization stays below 60%. The winners are dollar-revenue neoclouds with international enterprise contracts and Nvidia credit support. The losers are rupee-revenue builders dependent on government compute demand that has been sanctioned but not consumed. If Nvidia's paused deals resume and IndiaAI utilization climbs above half, this call is wrong, and I would say so.
What the 90:10 shift costs Yotta and everyone else
The shift costs Yotta something real. It trades goodwill with a domestic government program for customer concentration in two regions and a mismatch between dollar revenue and a rupee cost base. The irony is sharp: the models the IndiaAI Mission funded were trained on Yotta's GPUs, while much of its capacity now serves customers far from India. Gupta's view that valuation rises with larger contracts holds only if those contracts keep arriving.
For ESDS and E2E, the next move is a financing decision. E2E growing revenue 411% while its shares halve signals that investors doubt either the durability of that revenue or the economics behind it. Both companies will need to show that margins, not just top-line growth, can carry a capital raise.
For the startups the IndiaAI Mission was built to serve, the cost is time. Juspay is waiting three to six months for hardware while sanctioned GPU hours sit idle elsewhere in the system.
For global allocators, the $1.6 billion inflow sends a mixed signal. JPMorgan calls India an "AI hedge" for funds cutting crowded AI positions. Bernstein says India is "neither an AI beneficiary nor an anti-AI trade," pointing to a valuation of 18.6 times forward earnings, higher than South Korea and Taiwan. Goldman's Timothy Moe expects less AI-exposed markets such as India to see "some relative outperformance." That is a compliment, and it does not pay for GPU servers.
The Nifty rose 2% while ESDS fell about 38%
The same week the Nasdaq fell 5.5% and the Kospi fell 6%, the Nifty rose 2% and foreigners bought $1.6 billion of Indian shares. Inside that green index, ESDS fell roughly 38% and E2E roughly 36% while Yotta kept signing contracts. The scandal and the selloff did not test India's neocloud boom as a single thing. They sorted it into two, and the market has already picked which one it will fund.
