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Stephen Balaban studied computer science and economics at the University of Michigan. He was an early employee at Perceptio, a machine-learning startup acquired by Apple, where he worked on deep neural networks for on-device face recognition running locally on the iPhone's GPU. In 2012 he co-founded Lambda with his brother Michael, starting out as a deep-learning hardware vendor and growing it into a GPU cloud and AI-infrastructure company. As CEO he has led Lambda's expansion into large-scale GPU cloud services, raising over $1.5 billion in its 2025 Series E.
Michael Balaban co-founded Lambda in 2012 with his brother Stephen, helping build the company from a deep-learning hardware vendor into a GPU cloud and AI-infrastructure provider. He has been part of the company's technical and operational leadership since its founding. Additional verifiable detail about his earlier career could not be confirmed from public sources.
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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.
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