Skylake-X and certain Xeons have avx-512 (which includes two 512 bit fma units). The rest only have 256 bit wide vectors, like Ryzen. But they still have the ad

Skylake-X and certain Xeons have avx-512 (which includes two 512 bit fma units). The rest only have 256 bit wide vectors, like Ryzen. But they still have the advantage of two 256 bit fma units, while Ryzen instead relies on two 128 bit fma units, meaning the fma instructions critical to matrix operations are faster on Intel. I think the idea for HPC though is that you want to offload these highly vectorizable operations to a GPU. Or maybe you're doing a lot of Monte Carlo that it is hard to vectorize. I really do like avx-512 though. If you're writing a lot of your own code, and that code involves many small-scale operations and has control flow (like in many Monte Carlo simulations), it's a lot easier than mucking with a GPU. If you're using gcc though, be sure to add `-mprefer-vector-width=512`, otherwise it will default to 256 bit vectors (clang and Julia use 512 by default).