Nscale Hit With Pushback on $30 Billion IPO Target

Nscale targets $30B for IPO but investors signal $16B-$19B needed, as weak IPO returns and sliding comps pressure AI cloud deals.

Nscale data center infrastructure representing IPO valuation pressure
Nscale's targeted $30 billion IPO valuation draws investor resistance· Bloomberg Podcast

Bloomberg Podcasts reported Nscale is encountering investor pushback on its IPO valuation target of about $30 billion, with investors signaling $16 billion to $19 billion would be needed to get the deal through.

The gap is a steep haircut. Bloomberg Podcasts noted the average IPO this year is down 13% while the Nasdaq is up 18%, and comps CoreWeave and Nebius are down about 30% in the last two weeks.

Management still wants $30 billion.

AI Firm Nscale Faces Investor Pushback Over IPO Valuation - Bloomberg Podcast
AI Firm Nscale Faces Investor Pushback Over IPO Valuation, Bloomberg Podcast

Nscale is one of the more prominent neo-clouds trying to build data centers faster than hyperscalers and rent that capacity back to them, and Bloomberg Podcasts said its problems look endemic to the model, including power constraints, labor and potential delays. Microsoft recently pulled out of a small UK data center deal over power, and Microsoft was initially expected to be the major customer for Nscale's biggest site in West Virginia but that did not materialize, according to Bloomberg Podcasts.

The broader window has narrowed. Bloomberg Podcasts said the period from Labor Day through mid-October is the slowest for IPOs since 2022, with expectations now centered on Anthropic likely going public before Thanksgiving. Nscale filed publicly in September as Nscale Global Holdings Limited with audited consolidated financial statements, according to the filing, but has not started marketing while working through SEC comments and is expected to file an updated S-1. Two other large data center names, Switch and SB Energy, were anticipated for November or December and September respectively and have gone quiet, Bloomberg Podcasts reported.

The overhang is demand. Bloomberg Podcasts framed the central question as whether long-term demand for AI computing and products like Meta's Muse will spread widely enough to justify the amount of capacity being built and financed, with upcoming commentary from hyperscalers and names like SpaceX and Tesla watched for signals.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.