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Silicon Atlas

Evidence-first AI semiconductor analysis across architecture, memory, power, and industry strategy. What new silicon claims prove, where bottlenecks move, and whether gains survive at system and economic scale.

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Substack
PricingFreemiumPublishesTwice weekly
Issues12Founded2 months agoLast Issue5 days ago
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Latest Issues

The Data Center Boom Is Real. Who Gets Paid?

Goldman’s power forecast points to growth. Contracts, financing and GPU reinvestment determine how much reaches shareholders.

The data-center boom creates several different businesses. Applied Digital and TeraWulf collect rent for faciliti...

5 days ago
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16 TB per GPU: Enterprise SSDs Win First

The 2027–2028 opportunity lies in SSD products and NVIDIA’s platform. A broad NAND boom needs much wider adoption.

An AI agent reads a long incident report, requests another log, and waits. Keeping the computed context can save work when i...

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RL for Chip-Design LLMs: Learning What Passes

A chip-design LLM can rewrite hardware code after a failed test. But what lets it carry useful experience into the next design? That is the promise of reinforcement learning, or RL: train on evaluated attempts so future work starts from bet...

14 days ago
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Jev and AI Hardware: What Happens When Decisions Get Cheap?

Suppose a data-center monitoring service receives an incident report. It needs three decisions: Is this a network problem? Should someone be paged immediately? Are more logs needed?

The service needs decisions. But when we give this job to...

19 days ago
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Three Numbers Between a Wafer and a Workload

TL;DR

Manufacturing yield, enabled-resource fraction, and workload performance answer three different questions. You need only the measurement that matches the decision you are making.

Someone buying a laptop does not need to know the...

21 days ago
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5

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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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