
Server CPU demand remains supported by AI-led data-centre expansion. Gartner projects server shipments to grow at an 8% CAGR, from 12.5m units in 2025 to 18.2m by 2030, supporting higher CPU volumes as hyperscale and enterprise buildouts continue. While accelerators remain the main growth driver, newer AI platforms are becoming more CPU-intensive, with GPU-to-CPU ratios moving closer to 2:1 and potentially reaching over time to support agentic AI workloads and complex inference. Intel and AMD remain as key CPU players, while NVIDIA’s CPU presence is nascent but strategically important.
CPU demand rises with AI complexity. While GPUs remain the main accelerators for AI training and inference, CPUs continue to play a critical role in the overall server and data-centre stack, managing orchestration, workload scheduling, data movement, storage, networking, security and general-purpose computing. As GPU deployments scale, demand for CPUs also rises as AI clusters require stronger system-level coordination to keep GPUs efficiently supplied with data and to manage increasingly complex distributed and inference-heavy workloads.
AI servers are becoming more CPU-intensive. Current AI server architectures commonly use around a 4:1 GPU-to-CPU ratio, while some operate on a 8:2 ratio. However, as AI inference and agentic workloads increasingly require larger CPU deployments alongside accelerators, newer rack-scale systems are moving toward higher CPU intensity. NVIDIA’s Blackwell and Vera Rubin platforms are based on 2:1 GPU-to-CPU ratio, while AMD has noted that AI deployments are shifting closer to 1:1 CPU-to-GPU ratios versus historical 1:4 to 1:8 configurations. This suggests that CPU demand could rise structurally alongside GPU demand, benefiting AMD through its EPYC server CPU franchise and NVIDIA through its Grace CPUs, integrated into its AI platforms.
The AI hardware value chain is broadening beyond GPUs. Beyond Nvidia, AMD and Intel, “AI picks-and-shovels” names such as Dell, Lenovo and HP are also gaining investor attention as they assemble and integrate AI servers, GPU clusters, AI PCs and data-centre systems. Recent results from Lenovo, Dell and HP beat expectations, supported by stronger AI hardware demand. Dell and Lenovo are benefiting from robust AI server orders, GPU cluster buildouts and enterprise data-centre spending, while HP and Lenovo are also supported by AI PCs and the Windows 11 refresh cycle. Overall, the market is re-rating these hardware OEMs as key enablers of AI infrastructure buildout, despite not producing the core GPUs themselves.

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