Lambda is raising up to $4 billion at a $14.5 billion pre-money valuation in what could be its final private round before a planned 2027 initial public offering, according to the Wall Street Journal1,2,3. Blackstone and Coatue are leading the round. If Lambda raises the full amount, the post-money valuation would reach $18.5 billion.
Backlog concentration
A letter to investors reviewed by the Journal shows Lambda's backlog grew from $15 billion in June to $50 billion in September. Much of that increase appears driven by a single commitment: a $35 billion deal Anthropic signed with Lambda in late August. The Nvidia Corp.-backed company runs 15 data centers in the United States and had raised more than $2.3 billion in equity through its Series E in November 2025.
The backlog concentration raises a question about how much of Lambda's valuation rests on Anthropic's continued spending. TechCrunch noted that Lambda's valuation "could be leaning heavily on Anthropic's ability to keep paying".
Neocloud capital race
Lambda also raised an additional $1 billion in debt last week, underscoring the capital intensity of data-center buildouts that neoclouds fund largely through borrowing. Lenders are reportedly growing more selective about terms and counterparties.
Crusoe announced the initial close of a $3.9 billion Series F at a $30.9 billion post-money valuation on September 17. Nscale announced $3.36 billion in convertible notes on September 25. CoreWeave, which has been listed since March 2025, anchored an $8.5 billion financing facility through Blackstone Credit Insurance in March 2026. Coatue, now co-leading Lambda's round, previously led CoreWeave's $1.1 billion Series C in May 2024.
ANALYSIS Blackstone's presence on both sides of the neocloud market, leading Lambda's equity round while anchoring CoreWeave's debt facility, reflects the firm's deepening exposure to GPU-cloud infrastructure.
Lambda was founded in 2012 by twin brothers Stephen Balaban and Michael Balaban. The California-based company started by selling GPU workstations and servers to machine-learning developers and moved into cloud services around 2018. The IPO timeline depends on execution and market conditions, according to the investor letter.