DIGITIMES Insight: AI servers will carry nearly twice as many CPUs per accelerator by 2027

Demand for agentic AI in commercial and consumer markets was rising rapidly, and the market appeal of consumer services such as Meta Muse was expanding. In agentic AI tasks, large language model (LLM) inference was mainly handled by GPUs or application-specific integrated circuits (ASICs), while many other functions relied on CPUs, which was expected to boost CPU demand. Consumer-facing harness applications were expected to adopt enhanced general-purpose servers, while enterprise core automation would use high-density CPU racks deployed inside AI data centers.