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Neural network accelerators are specialized hardware accelerators designed to speed up ⽣ Artificial neural networ performance for greater processing power. They use dedicated circuitry to optimize the ⽣computation of neural network models thereby enabling faster training and inference capabilities. Neural network accelerators come in many forms from ASICs and FPGAs, to GPUs and CPUs, which can be used to create powerful ⽣ accelerated neural networks combined with traditional CPUs for a scalable and efficient ⽣solution. By utilizing the power of neural network accelerators, businesses can quickly and efficiently ⽣deploy artificial intelligence models for a wide variety of applications.
