
Lambda Raises $1.5B to Accelerate Buildout of GW-Scale AI Infrastructure
Cloud infrastructure startup Lambda has raised more than $1.5 billion in a Series E funding round led by TWG Global, the holding company backed by Thomas Tull and Mark Walter. Tull’s US Innovative Technology Fund (USIT) and several existing investors also participated. The capital infusion will be directed toward acquiring large volumes of NVIDIA GPUs and expanding Lambda’s rapidly growing network of AI-optimized data centers.
Lambda provides cloud compute services and software platforms purpose-built for training, fine-tuning, and deploying AI models, supporting enterprises that rely on both proprietary and open-source architectures. The company’s hosted offerings allow organizations to run inference and training workloads at scale without having to build or manage their own high-performance computing infrastructure.
“This round of funding helps enable Lambda to develop gigawatt-scale AI factories that power services used by hundreds of millions of people every day,” said Stephen Balaban, co-founder and CEO of Lambda. “Our mission is to make compute as ubiquitous as electricity and bring the power of AI to every person in America. One person, one GPU.”
Gaetano Crupi, Managing Director at USIT, added: “As we move into a new phase of AI scale, the most valuable infrastructure will be that which converts kilowatts into tokens with minimal friction.” His comment underscores the increasing focus on energy capacity, power delivery, and hardware availability as limiting factors in the AI compute race.
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