The vast majority of leading supercomputers and AI clusters today use CPUs for general-purpose tasks and orchestration and AI GPUs for massive parallel computing workloads to achieve exceptionally high ExaFLOPS-class performance. But in China, we are seeing a different trend, as in recent years the country has deployed a number of CPU-only supercomputers for AI and HPC workloads, largely due to the bans on GPUs from the US preventing the country from sourcing enough for supercomputers. For example, China's National Supercomputing Center recently deployed its 1.54 ExaFLOPS-class machine that uses 20,480 Armv9-based CPUs.
