Startup SqueezeBits Raises $2M to Make AI Models Cheaper to Run
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Hyungjun Kim raised $2 million in funding from Kakao Ventures and others for his startup SqueezeBits, which makes AI models cheaper to run.
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SqueezeBits removes useless parameters from AI models to reduce computation costs and memory usage.
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This can make models 3-5 times faster and reduce memory usage by 4 times.
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SqueezeBits faces competition from companies like OmniML (acquired by Nvidia), Xnor.ai (acquired by Apple), Deci, Neural Magic, and Nota.
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But Kim sees demand for AI optimization due to the gap between fast AI progress and slower hardware development.