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Tensor cores revolutionized AI acceleration by handling entire matrix operations in single instructions. While CUDA cores process one operation at a time, tensor cores multiply 4x4 matrices simultaneously—performing 32 operations per instruction cycle. This architectural difference is why modern GPUs excel at AI workloads. Neural networks are ...
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