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AI supply chain term

Test & burn-in

Test and burn-in is the stage where every finished chip is exercised on automated equipment to confirm it works before it ships.

What it means

Test and burn-in is the quality-verification stage near the end of chip manufacturing. Automated test equipment (ATE) drives electrical signals into each device and checks the responses, while burn-in stresses the chip at elevated voltage and temperature to catch parts that would fail early in the field. For AI accelerators, this step matters more than ever: the packages are large and expensive, combine many dies and memory stacks, and demand very high reliability, so the time needed to test each unit keeps rising. Test capacity sits in the back-end packaging layer of the AI supply chain, and untested silicon simply cannot ship. When test time per part grows faster than the fleet of testers and probe cards, the tester floor itself becomes a bottleneck that delays finished accelerators.

Why it matters to investors

As AI packages grow more complex, rising test time per unit strains a specialized equipment base and can gate shipments even when chips are otherwise built. Advantest and Teradyne dominate automated test equipment, FormFactor supplies the probe cards that contact each die, and King Yuan Electronics is a major outsourced test provider.

See Test & burn-in in the AI value chainIts live model score, why it matters, and every company exposed to it.

Companies on this part of the chain

Named to show where the term sits in the AI supply chain — research, not advice, and never a recommendation to buy or sell.

Related terms

See Test & burn-in in the live AI chain.

THE ENTITY maps every constraint onto one live model — which part is tight now, who owns it, and who gets squeezed when it moves. Plain-English reads you can check.

THE ENTITY is an educational read on the AI supply chain — research, not investment advice. It explains how the chain works and who sits where, never price targets or buy/sell calls.