Designed to accelerate AI model predictions, inference hardware—such as GPUs, TPUs, and specialized chips—runs trained neural networks in real time. It powers applications like voice assistants, autonomous vehicles, and medical diagnostics. Developers, cloud providers, and edge device manufacturers rely on it for low-latency, high-efficiency processing, enabling smarter, faster decision-making across industries.
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