The Brains Behind Artificial Intelligence | Updated April 2026
Where Semi Logic Sits in the Supply Chain
GPU and CPU designers (top layers) depend on foundries like TSMC to manufacture, equipment makers like ASML to build fabs, and EDA tools to design chips.
The Problem
AI models like ChatGPT need enormous computing power. Training a single large language model requires thousands of specialized processors running for months.
The Solution
These companies design the GPUs, CPUs, and custom AI chips that power every AI application. NVIDIA designs the GPUs, AMD competes in both GPUs and CPUs, Broadcom and Marvell build custom accelerators for the hyperscalers, and Arm licenses the CPU architecture underneath.
Why It Matters Now
Every major tech company is racing to build AI infrastructure. The demand for AI chips far exceeds supply, with TSMC’s leading-edge fabs booked out through 2027. This group is the direct beneficiary of every dollar spent on AI.
AMD
Advanced Micro Devices
CPUs and GPUs for data centers, PCs, and gaming. MI300 AI accelerator competing with NVIDIA. Growing share in server CPUs.
Mobile processors (Snapdragon) powering most Android phones. Expanding into automotive, IoT, and increasingly data-center AI inference. 5G modem leader.