Meta locked $27 billion in committed spend with Nebius over the next five years, the second hyperscale compute contract for the former Yandex AI infrastructure spinout in four months. Nebius announced the agreement Wednesday, three months after closing a $17 billion five-year deal with Microsoft. The company now carries $44 billion in forward contracted revenue, roughly fourteen times its current market capitalization.
The timing is surgical. Meta's stock fell 10% this week after the company reported a 91% collapse in free cash flow and guided to a cumulative $145 billion in AI capital expenditures through the current cycle. Mark Zuckerberg's net worth declined $18 billion in forty-eight hours as public market investors repriced the company's willingness to defer margin expansion indefinitely. The Nebius contract converts that investor anxiety into locked infrastructure capacity — Meta is buying optionality on compute density at a moment when Wall Street is punishing the expenditure.
Nebius operates GPU clusters and inference infrastructure across North America and Europe, built on the architecture Yandex developed before spinning the unit out in late 2023. The company went public via SPAC merger in December at a $3.2 billion valuation. The Microsoft deal in December sent the stock up 140% in three sessions. The Meta announcement Wednesday added another 28% before the close. Current market cap sits near $6.1 billion, implying the company is trading at roughly 0.14x contracted forward revenue — a multiple that makes sense only if investors believe Nebius cannot deliver the capacity or that hyperscalers will renegotiate before the contracts mature.
The structural tension is whether Nebius can build and operate the infrastructure fast enough to avoid margin-destroying delays. Meta and Microsoft are not buying cloud services. They are buying the ability to deploy proprietary models on third-party infrastructure without migrating workloads to AWS, Google Cloud, or Azure. That requires Nebius to provision clusters at pace with internal hyperscaler timelines, a rhythm that has destroyed smaller infrastructure providers in prior cycles. The company has nineteen months to prove it can scale GPU cluster deployment without hitting power, real estate, or supply chain constraints that would force contract amendments.
Allocators should track Nebius's quarterly capital deployment and cluster activation pace, particularly in Q2 and Q3 2025 as the first Microsoft capacity comes online. The company has not disclosed whether the Meta contract includes minimum capacity delivery schedules or penalty clauses for delayed activation. Any extension beyond Q3 2025 for initial Meta capacity would indicate supply chain friction. Separately, watch for secondary contract announcements from other hyperscalers or sovereign AI programs. A third $10 billion-plus deal before year-end would confirm Nebius as the default third-party infrastructure layer for non-cloud AI deployments.
The stock is now pricing in flawless execution on $44 billion of revenue recognition across six years, with no room for re-trades, delays, or competitive margin pressure from CoreWeave, Lambda, or internal hyperscaler build-out acceleration.