Lambda is an AI / GPU Cloud company founded in 2012 and based in San Francisco, United States. It has raised $2.4B in total funding, most recently a Series E in 2025.

Nvidia partners with six investment firms to offer $500B in financing for customers building AI infrastructure.
An AI cloud offering on-demand and reserved NVIDIA GPU instances, multi-GPU on-demand clusters, and private-cloud deployments for training and inference. Engineers can provision single instances or large clusters with the deep-learning stack preconfigured, avoiding the setup overhead of general-purpose clouds. Lambda targets AI labs and enterprises that need predictable, cost-competitive GPU capacity, and has been scaling toward larger reserved supercomputer-class deployments as part of its 'superintelligence cloud' positioning.
Lambda designs and sells on-premise GPU systems, including workstations and multi-GPU servers, shipped with its preconfigured deep-learning software stack so teams can train and run models on their own infrastructure. The hardware line is aimed at research labs, enterprises, and developers who want owned, in-house GPU compute rather than renting cloud capacity. This dual cloud-plus-hardware model differentiates Lambda from pure-cloud GPU competitors and dates back to its early roots as a deep-learning hardware vendor.
12 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.