2:05

In this promotional presentation, Dylan Patel (Speaker A) walks viewers through the SemiAnalysis STEEL lab in Hillsboro, Oregon, highlighting its end‑to‑end reverse‑engineering services for both data‑center and consumer hardware. The lab combines expertise from system architecture to device manufacturing, physically tearing down products (racks, consumer boxes) to expose internal components such as displays, chips, advanced packages, interconnects, dies, memory (HBM), and system‑level floor plans. A suite of imaging tools is described: high‑power optical microscopes (micron‑scale), scanning electron microscopes (nanometer‑scale), and transmission electron microscopes (atomic‑scale) that reveal transistors, gates, high‑k dielectrics, and doping layers. The speaker emphasizes the strategic value for technical clients—providing insight into hidden or latent features (e.g., hybrid bonding) to understand competitor differentiation and inform product road‑maps. The talk concludes with a sales contact invitation.

Chapters

More from Dylan

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Sparse attention fixes memory bandwidth, not memory capacity.

10h ago
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STEEL: From product to transistor | SemiAnalysis Model Overview

1d ago
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The AI buildout, quantified | SemiAnalysis

1d ago
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Is GLM 5.3 worth sounding the alarms? 🚨

2d ago
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Ep. 038 - Is GLM 5.3 a Mythos-Class Cyber Model From China? (InferenceX)

2d ago
2:04
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Even the frontier labs underestimated their own demand.

5d ago
1:52
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The AI buildout needs more capital than backstops can cover.

6d ago
1:52
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The fastest finish is not always the most efficient one.

6d ago
1:23:18
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Ep. 037 - Who's Funding the $11 Trillion AI Buildout? (Capital Markets)

1w ago
0:48
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"It's like a zombie apocalypse, but you don't know how many waves of zombies are coming."

1w ago
2:01
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Open-source models are already taking the easier tasks. The bull case for frontier labs rests on one

1w ago
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