AI hardware,
answered.
Short, factual answers to the questions people ask most about how AI hardware is built and why it is scarce.
Why do GPUs dominate AI?
Neural networks are mostly large matrix multiplications, and GPUs are built to do that kind of massively parallel math. NVIDIA's lead also comes from CUDA, the mature software ecosystem around its chips, which makes them the path of least resistance for most teams. Dedicated accelerators (TPUs, custom ASICs) target the same workloads with more specialized silicon.
What is HBM and why does it matter?
High-bandwidth memory (HBM) is DRAM stacked vertically and placed right next to the processor so it can feed data fast enough. AI workloads are frequently memory-bandwidth bound, so HBM capacity and speed often set the real performance ceiling. Only three companies make it at scale (SK Hynix, Samsung, Micron), which makes it one of the tightest links in the chain.
What is advanced packaging (CoWoS)?
After chips are fabricated they must be assembled with their memory into one high-performance package. CoWoS (chip-on-wafer-on-substrate) joins the GPU die and HBM stacks on a shared interposer. Packaging capacity, not raw wafer output, is frequently the true bottleneck for finished accelerators.
Why is AI compute so scarce?
Because AI hardware is a chain of dependent steps and the slowest link sets the pace. The binding constraint rotates between HBM, advanced packaging, and increasingly grid power for data centers. Each chokepoint takes a long time to expand, so shortages persist for quarters or years rather than weeks.
Why is Taiwan so important to AI hardware?
TSMC, based in Taiwan, manufactures the large majority of leading-edge AI accelerators and owns much of the advanced packaging capacity. That concentration of cutting-edge fabrication in one place is the central geographic and geopolitical fact of the industry.
How do export controls affect AI hardware?
Export controls restrict where the most advanced hardware and the equipment to make it (notably EUV lithography) can be sold. They add a policy layer on top of the physical supply chain, shaping which countries and companies can access frontier compute. Specifics change often, so verify current rules against primary sources.
Is this neutral and current?
It is a curated overview maintained by hand for general understanding, not investment, procurement, or legal advice. It sticks to widely reported, structural facts and avoids predictions. The industry moves quickly, so confirm specific figures, dates, and players against primary sources before acting.