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A Tensor Processing Unit (TPU) is a type of specialized hardware accelerator designed by Google to efficiently execute machine learning workloads, particularly neural network computations. It is optimized for high-throughput, low-latency operations involved in artificial intelligence tasks.
An application-specific integrated circuit (ASIC) for AI is a custom-designed hardware chip optimized to accelerate artificial intelligence tasks, particularly machine learning and neural network computations. These chips offer improved performance and energy efficiency compared to general-purpose processors.
Loihi is a neuromorphic research chip developed by Intel designed to mimic the architecture and function of the human brain for efficient artificial intelligence applications. It features spiking neural networks and event-driven computation to enable low-power learning and adaptation.