es such as Stockfish are well suited to modern CPUs and process millions of nodes per second. In contrast, neural network-based engines implement their models highly inefficiently compared to their biological forebears and would be limited to a few thousand nodes per second on a CPU alone. Instead, they are more suited to GPUs and TPUs, on which they can achieve hundreds of thousands of nodes per second. This is still orders of magnitude below classical engines, but with neural evaluations they are mostly c