CUDA Cores

The individual parallel processors inside an NVIDIA GPU that handle general-purpose computation. CUDA cores are distinct from tensor cores: they execute standard floating-point and integer operations, while tensor cores specialize in matrix math. Higher CUDA core counts improve gaming and general compute, but for AI workloads, tensor core count and VRAM matter more. Don’t compare raw CUDA core numbers across GPU generations — architecture improvements mean newer cores do more work per clock.