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Stephen Balaban is the co-founder and CEO of Lambda, a prominent AI and machine learning infrastructure company. With a Ph.D. in Biophysics from Carnegie Mellon University, he has a deep technical background that he leveraged to build a company dedicated to accelerating AI development. Since co-founding Lambda in 2012, Stephen has been instrumental in its growth, establishing it as a leading provider of GPU cloud services, servers, and workstations tailor-made for deep learning tasks. He is recognized for his vision of making high-performance AI computation accessible to engineers and researchers, effectively democratizing the tools needed to build the next generation of artificial intelligence.
Stephen Balaban's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Lambda in 2012 and has scaled it into a leading AI compute provider. The company supplies essential GPU hardware and cloud infrastructure to thousands of organizations, including major AI research labs and Fortune 500 companies.
Led Lambda through major funding rounds to accelerate growth, including a $320 million Series B round in early 2024. This investment, led by Thomas Tull, valued the company at over $1.5 billion, cementing its status as a key player in the AI infrastructure market.
Under his leadership, Lambda pioneered the concept of pre-configured, ready-to-use deep learning systems. This approach significantly lowers the barrier to entry for AI practitioners by eliminating complex hardware and software setup, allowing them to focus on research and model development.
University of Michigan
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Lambda is a deep learning and AI infrastructure company that provides computation to accelerate human progress. They offer GPU cloud services, on-premise servers, and workstations designed for training, fine-tuning, and inferencing AI models and large language models (LLMs). Lambda serves a wide range of clients, from startups to large enterprises and research institutions, making high-performance computing more accessible.
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