CUDA works best when the application workset is able to be run, concurrently, on the many processing cores that make up a present-generation GPU - and this is where we can see a 10x improvement ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video ...

The RTX 5090 contains a ludicrous 21,760 FP32 CUDA cores and 32 GB of VRAM on a 512-bit bus. Otherwise, the step down from that—the 5080—is a relatively subdued upgrade from the 4080.

In reality, it’s even more, because the RTX 4090 doesn’t even utilize the full die — the GPU serves up 16,384 CUDA cores, but the chip has up to 18,432. In any case, those gains are significant.

The 5060 Ti has 26% fewer Tensor cores, 26% fewer ray tracing cores, and 28% fewer CUDA cores, plus lower memory bandwidth (192-bit vs. 128-bit).

Older RTX 3050s use the same GA106 die as the RTX 3060 series, but with many of that die's 3,840 CUDA cores switched off. This can allow Nvidia to reuse partially defective GA106 dies, ...