Yes and no. I have been developing some local llama 3 inference software on a machine with 3200MT/s ECC RAM and a Ryzen 7 5800X:

https://github.com/ryao/llama3.c

My experience is that input processing (prompt processing) is compute bottlenecked in GEMM. AVX-512 would help there, although my CPU’s Zen 3 cores do not support it and the memory bandwidth does not matter very much. For output generation (token generation), memory bandwidth is a bottleneck and AVX-512 would not help at all.