About Lambda Labs
Lambda, widely known as Lambda Labs, runs a cloud service that rents GPU servers for training and running AI models. It also began as a maker of GPU workstations and servers, and that hardware business is now a smaller part of its revenue. Unlike general-purpose clouds, it focuses only on AI workloads. The company was founded in 2012 by brothers Stephen and Michael Balaban. Most sources place its headquarters in San Jose, California, while the record lists San Francisco. In November 2025 it announced a multi-year agreement with Microsoft to deploy Nvidia GPUs.
Lambda Labs was founded in 2012 and is based in San Jose, CA, United States. It is listed under GPUs, AI Accelerators, HPC & AI Systems. Reported funding is $1.5B Series E (Nov 2025, TWG Global-led).
Compute Technologies
- GPUs
- AI Accelerators
What Lambda Labs works on
GPUs
A GPU, or graphics processing unit, is a chip with thousands of small cores that can run the same operation on a lot of data at the same time. It was first built to draw images in games. The same design suits any job that applies simple maths to large arrays of numbers.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
HPC & AI Systems
High-performance computing (HPC) means using very large clusters of processors working together to solve problems that one machine cannot handle in a reasonable time. These clusters are called supercomputers. They run weather models, physics simulations and, increasingly, AI training.
