Nscale raises $3.36 billion pre-IPO round led by Third Point ahead of NYSE debut

โดย Investing.com·GBUSAE·Read original
Summary · why it matters

London-based Nscale Limited has secured $3.36 billion in a pre-IPO convertible financing round as the artificial intelligence data center operator prepares for a public debut. The convertible loan note offering was led by activist hedge fund Third Point, with participation from Apollo, Citadel, Hudson Bay Capital, and the Abu Dhabi Investment Council. The transaction consists of an immediate $2.36 billion closing tranche alongside a $1 billion forward commitment from Nvidia Corp., with the latter slated for funding in mid-November 2026. The capital raise follows the company's recent initial public offering filing, which could seek as much as $3 billion in new equity. Nscale reported more than $103 billion in total contracted value, and expects to list its ordinary shares on the New York Stock Exchange under the ticker symbol NSCL, with Goldman Sachs & Co. LLC acting as placement agent and a lead underwriter alongside JPMorgan Chase & Co. and Morgan Stanley.

Impact on assets 1

Artificial Intelligence▲ · 1 stocks
NVIDIA Corporation
NVDA
▲ PositiveCapitalrelevance

Nvidia committed a $1 billion forward tranche in Nscale's pre-IPO convertible financing, a direct investment in the AI data center operator.

Theme Impact 3

Related news

Microsoft CEO Nadella Says Company Must Earn Community Permission for Data Centers

Microsoft CEO Satya Nadella said the company must earn permission from local communities to build its data centers, as opposition to the AI infrastructure boom grows across the United States. In March, Microsoft announced it was ending the use of non-disclosure agreements with towns and terminating existing ones, part of what the company calls its Community-First AI Infrastructure Plan unveiled in January. That plan includes Microsoft paying to ensure electricity rates in data-center areas don't rise, minimizing and replenishing more water than the company uses, hiring local workers, not asking communities to reduce taxes on data centers, and investing in AI training. Nadella pointed to Quincy, Washington, where Microsoft built its first company-owned data center in 2006, noting the town's poverty rate fell from 29.4% to 13.1% between 2012 and 2023, tax rates for residents declined, and the improved tax base helped pay for a new hospital and other municipal facilities. An increasing number of states have introduced legislation to halt or ban data center construction, with New York issuing a statewide one-year moratorium and Texas blocking new projects until the Electric Reliability Council of Texas completes an audit of their impact on the power grid and water resources.
Yahoo Finance·1hRead more →
▲2impact 4

Alibaba Plans 5-10 Trillion Parameter AI Model and 20-Gigawatt Cloud Buildout

Alibaba Group outlined plans for a much larger AI model, a new accelerator and a vast expansion of cloud capacity, sending its U.S. shares down about 0.6% to $109.97 at 11.08am ET on Friday. The company plans to train a model with 5 trillion to 10 trillion parameters, versus 2.4 trillion for its current flagship, Qwen 3.8 Max. Alibaba says its Zhenwu V900 chip delivers three times the performance of its predecessor and can work in clusters of up to 500,000 chips. As Reuters reported, Alibaba is also targeting more than 20 gigawatts of global data center capacity by 2032. At $109.97, the stock trades 9.37% below the $121.34 GF Value cited by GuruFocus, leaving the payoff dependent on customers using the new capacity heavily enough to cover its cost.
GuruFocus·1hRead more →
▲

Dell Shares Rise 4% as Morgan Stanley Lifts Odds on $756 Bull Case

Dell Technologies shares climbed 4% Friday after Morgan Stanley raised the probability attached to its $756 bull-case scenario following a meeting with Chief Operating Officer Jeff Clarke, while leaving its Neutral rating and $511 target unchanged. The shift centers on whether AI spending represents another hardware replacement cycle or a broader expansion in infrastructure demand. Clarke told the brokerage that AI agents could drive inference-token usage 87 times higher by 2030, potentially creating additional demand for computing capacity. Morgan Stanley's unchanged base-case valuation means the note did not alter its formal recommendation, but the higher probability assigned to the more optimistic scenario gave investors another data point as they assess whether Dell's AI infrastructure growth can persist beyond the current spending cycle.
GuruFocus·1hRead more →