AI workloads require more server density and generate more heat. Direct-to-chip liquid cooling is emerging as the preferred cooling solution for AI with leaders like Meta, Google or Equinix adopting it.
GPU vs CPU is a parallelization vs complexity dilemma. While GPUs can manage very large parallel calculations, they struggle with linear, more heterogeneous tasks, where CPUs excel.Ā
RISC-V, an open standard instruction set architecture (ISA), could have the potential to mirror the success of Linux two decades later, but in the hardware domain.