Nebius's Microsoft and Meta contracts cushion a potential fall in market compute rates. Their take-or-pay clauses and upfront payments protect Nebius even if spot prices decline; that matters despite the risk of eventual capacity oversupply. x.com
Fede Sandler
Former IRO at Mercado Libre/Nubank, Forbes Columnist
Hyperscaler borrowing could raise Nebius and CoreWeave's financing costs as investors favor safer debt. Microsoft reportedly plans to borrow. Nebius has prepayments and cheaper funding; CoreWeave has more debt. Nebius is strongly preferred if credit tightens. If rates fall and CoreWeave turns its $104B backlog into revenue, EBITDA and cash flow, it could have significantly more upside. Google expects more third-party compute use in Q4; Microsoft cites delayed deliveries. x.com x.com x.com
Google's compute shortage could create a premium short-term customer opportunity for Nebius. Google said it began using third-party compute in Q3 and will ramp usage in Q4; it fits the time-bound customers Nebius targets for three-to-six-month contracts at $40-50 million per MW, potentially more. A Google deal is only a possibility. x.com
Nebius's recently signed higher-margin deals are predominantly with pre-revenue neolabs, making it aggressive to project a few small, short-term contracts' economics across all available capacity for years. Short-term economics are very attractive now, and Nebius management has better insight into demand, but assuming all these customers renew at similar or better terms indefinitely seems unrealistic. x.com x.com x.com
Nebius's $40B-plus customer commitments and funding resources make its growth seriously underappreciated, despite financing risk. Q2 revenue grew 454% to $582M; Microsoft and Meta contracts total $29.4B, with another potential $15B from Meta. Against roughly $5.7B of Q2 capex, Nebius had about $8B cash, expects over $9B in 2026 customer prepayments and subsequently raised about $5.75B in convertible notes. It is one of the more compelling long-term AI infrastructure opportunities right now. … Show more
Nebius could be one of the few neoclouds to survive and thrive in a shakeout because it can finance expansion while weaker rivals struggle. Its new $3.5B Citi facility bolsters capital access; Nebius says prepayments on roughly 70% of Q2 deals covered 50-60% of related capex. Its integrated cloud and NVIDIA collaboration strengthen its platform; Palantir may bring enterprise demand but has yet to yield revenue. The Citi facility matures in 364 days; delivery and returns remain risks. x.com
Nebius can fall with neocloud peers because the market prices sector risk rather than each company's quality. Nebius and SPCX are better companies than 99% of the others, yet Nebius would not be immune to a WOLF or CoreWeave default; some weaker names may never recover. x.com
Nebius has pricing power because its hard-to-build AI infrastructure and software serve enterprise clients who cannot find capacity elsewhere. It owns some data centers and land but has mostly operating leases; the share of active compute at owned sites is unspecified. It looks like the best infrastructure play despite slight skepticism about its path to profitability and valuation, and would work even if capex slowed 20% or the cycle paused. x.com x.com x.com
Nebius can make vastly more money when Inferize cuts wasted GPU time and spot prices rise above the recently removed caps. Together, these changes unlock what looks like insane value. x.com
SpaceX's planned tenfold neocloud expansion and tightening financing could pressure Nebius. Musk says debt markets have nearly shut for companies without substantial non-AI-data-center revenue, implying consolidation among the 200-plus neoclouds. Nebius looks less appealing than SpaceX, and picking a battle with Elon is not attractive. x.com x.com
Nebius's true spot pricing should collapse the spread earned by asset-light inference middlemen such as Fireworks. They aggregate demand that would exist without them and resell it for a fee. That margin squeeze is positive for the AI ecosystem as high-margin rents fall across models, compute and capital; chip margins are the last to fall, and may be near that point. x.com