According to media reports citing sources familiar with the matter, Lambda, an AI cloud computing service provider backed by Nvidia (NVDA), is in talks to complete a funding round of up to $3 billion ahead of a potential initial public offering. The company is targeting a valuation of approximately $12 billion or higher and has already received several term sheets. Should the deal materialize, this round would serve as a critical capital infusion before a possible listing as early as next year, and also as a concentrated test of private market confidence in the growth of emerging AI cloud platforms.
Lambda expects its revenue to exceed $1.5 billion this year, with the funding round potentially reaching roughly twice its annual revenue. This underscores the heavy reliance of AI computing businesses on integrated capital for GPU procurement, power capacity, and data center construction. Although Nvidia’s shareholder status provides Lambda with supply chain security and ecosystem endorsement, the company faces fierce competition from peers such as Nebius (NBIS), CoreWeave (CRWV), and IREN (IREN). Going forward, investors will scrutinize key metrics including GPU utilization, customer concentration, and free cash flow.
Founded in 2012, Lambda is a pure-play AI infrastructure company. Its core business involves building and operating “AI factories” centered on Nvidia GPUs, offering cloud-based rental of computing power for training, fine-tuning, and inference. Its product range spans on-demand instances with 1 to 8 GPUs, to single-tenant superclusters containing thousands of GPUs with contract terms of three years or more, integrating high-density power supply, liquid cooling, and high-speed networking infrastructure. The company discontinued its traditional on-premises business last year to fully pivot to AI cloud computing. Its multi-year agreement with Microsoft involves deploying tens of thousands of Nvidia GPUs, demonstrating its capacity to serve large enterprise clients.
Compared with CoreWeave, which also belongs to the “Nvidia-first” camp, Lambda is more narrowly focused on GPU compute and dedicated cluster services, whereas CoreWeave has evolved into a full-stack AI cloud platform. In terms of scale, as of March 2026, CoreWeave reported quarterly revenue of $2.078 billion, while Lambda’s full-year expected revenue stands at $1.5 billion, making it significantly smaller in size. However, its long-term contracts with investment-grade clients such as Microsoft position Lambda closer to a “focused entity-cluster AI compute factory operator.”
Lambda’s proposed $3 billion financing round marks the formation of a complete capital cycle for AI computing resources, following the trajectory of “long-term customer contracts—secured loans—equity financing—IPO.” Previously, the company had secured a $1 billion syndicated credit facility and $926 million in term loans. Nevertheless, the roughly $12 billion valuation represents approximately 8 times its expected annual revenue. Moving forward, the capital markets will no longer reward GPU count alone but will instead more carefully assess fundamentals such as compute utilization, long-term contract quality, customer concentration, depreciation rates, and free cash flow. This financing round demonstrates that AI infrastructure continues to attract substantial capital, but it alone does not prove that end-market AI application monetization or the “new cloud” profitability model has fully matured.
