
Running AI models locally demands a distinct approach to hardware compared to traditional computing setups. As Kai explains, the focus shifts from raw processing power to achieving a balance between memory capacity and bandwidth, both of which are critical for handling large-scale datasets and making sure smooth model performance. For instance, systems with shared memory […]
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