> What are your thoughts on the Intel vs AMD options for deep learning? Tbh, while everyone is hyping up AMD lately, I still think there is a lot to be said for the Intel side of things. In my experience building these rigs over the years, the software ecosystem often favors Intel. You get access to things like the Intel oneAPI Deep Neural Network Library which can really squeeze extra performance out of the hardware during those pre-processing stages. Honestly, if you want reliability and really solid library support, just go with a modern Xeon from Intel and you wont regret it. You dont necessarily need the absolute highest clock speeds for the CPU part of a deep learning build since the GPU does the heavy lifting, but the memory bandwidth on the Intel platforms is top tier. I always tell people to check out the technical benchmarks on sites like Puget Systems or Phoronix before buying... they have some great data on how the different architectures handle specific AI workloads. Intel might not win every single raw core-count battle, but the platform stability is worth it imo.

I think the AMD Ryzen Threadripper PRO 7000WX series are best CPUs for deep learning.

AMD Ryzen 9 7950X3D: With 16 cores, 32 threads, a base clock speed of 100 MHz, and a boost clock speed of 5.7 GHz, this AMD processor is a strong contender for deep learning workloads. It also features a generous 128 MB shared L3 cache

Get latest Ryzen Threadripper PRO series.

9950X.