Lambda, a cloud infrastructure startup backed by Nvidia, is in talks to raise around $350 million as it prepares for a potential initial public offering in the second half of this year, according to sources familiar with the matter. The move underscores growing investor appetite for AI-focused infrastructure platforms as demand for accelerated computing continues to surge.
Lambda specializes in providing GPU-rich cloud services tailored for AI training, inference, and large-scale model development. Unlike general-purpose cloud providers, the company has positioned itself as a pure-play AI compute platform, offering access to Nvidia’s latest GPUs for startups, researchers, and enterprises building generative AI and machine learning applications.
The planned funding round is expected to strengthen Lambda’s balance sheet ahead of a public listing, helping it expand data center capacity, secure long-term GPU supply, and compete more aggressively with hyperscalers and other AI-native cloud providers. With global AI compute demand still outpacing available capacity, platforms that can reliably deliver high-performance GPUs are commanding premium valuations.
From a market perspective, Lambda’s IPO ambitions reflect a broader shift in the AI ecosystem. While early investment focused heavily on foundation models and applications, capital is increasingly flowing toward “infrastructure enablers” that power the AI stack. Investors view these companies as more defensible, benefiting from long-term demand regardless of which AI models ultimately dominate.
If successful, Lambda’s IPO could become a bellwether for AI infrastructure companies seeking public-market validation, highlighting how central compute platforms have become to the next phase of the AI economy.