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AI hardware encompasses specialized processing units and devices designed to accelerate artificial intelligence workloads. This category includes graphics processing units (GPUs), tensor processing units (TPUs), field-programmable gate arrays (FPGAs), and dedicated AI chips optimized for machine learning and deep learning applications. These components enable faster model training, inference, and deployment in diverse environments, from edge devices to high-performance data centers. Innovations in AI hardware enhance computing efficiency, reduce power consumption, and enable advanced AI capabilities across industries including healthcare, finance, robotics, and autonomous systems.
What are Hardware tools?
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