Lambda Secures 1.5 Billion Dollars Following Microsoft Agreement

By Mansi Mistri · AIM Media House

Lambda has raised $1.5 billion in new financing led by TWG Global with participation from other investors. The announcement follows Lambda’s multibillion-dollar agreement with Microsoft to supply high-performance GPU infrastructure across its U.S. data centers.

Lambda was founded in 2012 by Stephen Balaban and has expanded from a hardware seller into an operator of GPU data centers built for large model workloads. The funding round is the company’s largest to date.

A Market Flooded With GPU Demand Microsoft and Lambda disclosed their multibillion-dollar agreement earlier this month. The deal includes tens of thousands of Nvidia GPUs that will be installed across Lambda’s U.S. facilities. Nvidia is also an investor in Lambda through earlier rounds. Lambda operates U.S.

data centers that use liquid cooling and dense GPU racks, forming the base for the Microsoft deployments. Microsoft has signed other agreements across the sector. TechCrunch reported that Microsoft purchased about 1 billion dollars’ worth of services from CoreWeave in 2024.

OpenAI later signed a 12 billion dollar contract with CoreWeave in March 2025. These transactions show the scale of procurement as companies race to secure GPU access. Prior to this round, Lambda raised a $480 million Series D in February at an estimated 2.5 billion dollar valuation.

Industry discussions referenced additional fundraising and an IPO. How Lambda Builds and Delivers Compute Lambda operates GPU data centers in the United States that support training and inference workloads. Its services include shared cloud access, dedicated clusters and full rack deployments.

The company’s facilities use liquid cooling and high density power systems suited for Nvidia hardware. Stephen Balaban described Lambda’s current operations, stating that the company is deploying “tens of thousands of GPUs” across customer environments.

This aligns with the size of the Microsoft agreement and the capacity of Lambda’s sites.

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