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Advanced packaging and chiplets are reshaping AI chips—but manufacturing the package may be harder than building the silicon.

Here’s why substrates, 2.5D and 3D packaging, yield, warpage, and capacity could determine which next-generation AI hardware actually ships.

As semiconductor scaling becomes increasingly difficult and expensive, chiplets have emerged as one of the industry’s most important architectural strategies. Instead of manufacturing one enormous monolithic die, engineers can divide a system into smaller dies and reconnect them using advanced semiconductor packaging.

But that doesn’t eliminate the manufacturing problem. It moves part of it.

In this episode of Silicon to Software, we break down the engineering behind chiplets and advanced packaging—and why substrate capacity, interposer manufacturing, thermal expansion, registration tolerance, bonding, and package yield have become critical constraints for AI accelerators and high-performance computing.

We cover:

• Why monolithic semiconductor scaling runs into reticle and yield constraints

• How chiplets change semiconductor manufacturing economics

• The manufacturing differences between 2.5D packaging and 3D packaging

• Silicon interposers, RDL, microbumps, TSVs, and hybrid bonding

• Why CTE mismatch creates warpage and reliability problems

• How ABF and other IC substrates affect advanced package manufacturability

• Why multi-die package yield is multiplicative

• The importance of known-good-die testing

• Why chiplets are not automatically cheaper than monolithic designs

• How advanced packaging capacity can constrain AI chip production

• The role of OSATs and substrate manufacturers

• How UCIe enables standardized die-to-die communication

• Why chip-package co-design and DFM need to begin before the floorplan is frozen

For engineering teams, the practical lesson is increasingly difficult to ignore: packaging can no longer be treated as something that happens after the chip is designed.

For advanced AI hardware, the package itself has become part of the system architecture.

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