The litepaper discusses Extropic's mission to develop a novel hardware platform that harnesses the natural fluctuations of matter as a computational resource for Generative AI.
Key Points
The demand for computing power in AI is increasing exponentially, but Moore's Law is slowing down due to fundamental physical limitations of transistors at the atomic scale.
Biology hosts more efficient computing circuitry than current human-made devices by leveraging intrinsic randomness in chemical reaction networks.
Energy-Based Models (EBMs) are a potential solution, as they are optimal for modeling probability distributions and require minimal data. However, sampling from EBMs is difficult on digital hardware.
Extropic is implementing EBMs directly as parameterized stochastic analog circuits, which can achieve orders of magnitude improvement in runtime and energy efficiency compared to digital computers.
Extropic's first processors are nano-fabricated from aluminum and run at low temperatures where they are superconducting, using Josephson junctions for nonlinearity.
Extropic is also developing semiconductor devices that operate at room temperature, sacrificing some energy efficiency for scalability and accessibility.
A software layer is being built to compile abstract specifications of EBMs to the relevant hardware control language, enabling Extropic accelerators to run large programs.
Key Points
The demand for computing power in AI is increasing exponentially, but Moore's Law is slowing down due to fundamental physical limitations of transistors at the atomic scale.
Biology hosts more efficient computing circuitry than current human-made devices by leveraging intrinsic randomness in chemical reaction networks.
Energy-Based Models (EBMs) are a potential solution, as they are optimal for modeling probability distributions and require minimal data. However, sampling from EBMs is difficult on digital hardware.
Extropic is implementing EBMs directly as parameterized stochastic analog circuits, which can achieve orders of magnitude improvement in runtime and energy efficiency compared to digital computers.
Extropic's first processors are nano-fabricated from aluminum and run at low temperatures where they are superconducting, using Josephson junctions for nonlinearity.
Extropic is also developing semiconductor devices that operate at room temperature, sacrificing some energy efficiency for scalability and accessibility.
A software layer is being built to compile abstract specifications of EBMs to the relevant hardware control language, enabling Extropic accelerators to run large programs.
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Is this real or just theoretical?