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Silicon Atlas

AI semiconductors through a systems lens—from data centers to on-device AI. Evidence-first analysis of architecture, memory, power, and industry strategy.

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Issues7Foundeda month agoLast Issue11 days ago
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Latest Issues

The Evidence Ladder for New Silicon

When did a chip-design conference become such compelling viewing?

That thought kept returning as Hot Chips presentations made their way through my X feed this year. They brought to mind the excitement I associate with a big technology even...

11 days ago
5

The Memory Handbook, Part II: The Empire That Outlives the Cycle

TL;DR

  • Memory runs on two clocks: prices turn every few years, while industrial leadership changes over decades.

  • The center of DRAM moved from the United States to Japan and then to South Korea because invention had to be conver...

21 days ago
4

Everyone Wants a Custom AI Chip. Does It Pay?

In brief

Everyone wants a custom AI chip, but the die is not the economic asset. The asset is the workload: large enough to absorb fixed silicon, software, and system costs; stable enough to migrate; and busy long enough to pay back be...

a month ago
6
1

The Memory Handbook, Part I: How the Pieces Fit Together

I have spent close to twenty years in semiconductor research and industry. I cannot remember another time when so many people outside the field followed memory this closely.

Names that once stayed inside engineering meetings and trade publ...

a month ago
10
2

Can AI Really Design a Chip?

I have spent close to twenty years working in silicon. For most of that time, chip design has been the kind of work that rewards patience. Engineers read specifications, write and review RTL, chase bugs, close timing, and build confidence o...

a month ago
7

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  • Silicon Atlas

    Evidence-first AI semiconductor analysis: what new silicon claims prove, where bottlenecks move, and whether gains survive at system and economic scale.

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