Extropic, a cutting-edge company specializing in physics-based computing, has officially unveiled its Litepaper detailing its innovative approach to AI acceleration using out-of-equilibrium thermodynamics. By harnessing the power of thermodynamic systems, Extropic has developed chips and algorithms that can efficiently handle complex probability distributions necessary for generative AI applications.
Traditional digital hardware faces limitations when it comes to moving numbers around in memory, hindering the speed and efficiency of AI algorithms. Extropic’s chips, on the other hand, operate by running probabilistic algorithms as a physics-based process, enabling rapid and energy-efficient AI acceleration that was previously unattainable. With the recent fabrication of a superconducting prototype processor and ongoing research into room-temperature semiconductor-based devices, Extropic aims to revolutionize the field of AI acceleration and unlock new possibilities in generative AI.
Led by CEO Guillaume Verdon and CTO Trevor McCourt, Extropic boasts a diverse team of experts with backgrounds in physics and AI, drawing from experiences at top tech companies and academic institutions. The company’s groundbreaking work has attracted significant attention from investors, including a recent $14.1 million Seed funding round led by Kindred Ventures and supported by reputable names like Buckley Ventures, HOF Capital, and Valor Equity Partners, among others.
For those interested in learning more about Extropic’s innovative computational paradigm, the Litepaper can be accessed on the company’s website at extropic.ai/future. Job seekers can also explore available opportunities at extropic.ai/careers to join the forward-thinking team driving the future of AI acceleration.
Extropic’s dedication to pushing the boundaries of thermodynamic computing for generative AI is evident in its strategic partnerships, impressive team, and ongoing research efforts. Stay tuned for more exciting developments from Extropic as it continues to pave the way for the future of AI.
Image source: Extropic, https://mma.prnewswire.com/media/2363364/Chip.jpg?p=original
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