Larger tensor computations are tiled into supported shapes and scheduled across many cores. Actual speedups require compatible data types, layouts, and kernels that keep the units busy.
A tensor core is a specialized execution unit that performs small matrix operations efficiently, often at reduced precision.
Larger tensor computations are tiled into supported shapes and scheduled across many cores. Actual speedups require compatible data types, layouts, and kernels that keep the units busy.