
AI infrastructure research for serious investors — semiconductors, optical interconnects, software, and systems-level thinking on the plays that matter before Wall Street catches on.
| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 84 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||

In drug discovery, the moat is the measurement, not the model.
On August 5, Jeff Dean left Google after twenty-seven years. He didn’t leave to build another model. He left to co-found Discovery Loop, a public-benefit corporation whose stat...
Tokens per second is this decade’s frames per second, and the metric is the moat.
Four Physics Bets, One Constraint
Bloom (BE): what the record Q2 print settles, what the call added, and where my targets stand.
You got the headline numbers in the chat during the call. Here is the rest, shorter and blunter than the public post. And my read up front: I kn...
Gorgon Halo, in hand, Moscone exhibit floor, July 23.
Lisa Su put up a chart at Moscone on Wednesday titled “AMD Helios Delivers Industry Leading Rack Scale Performance.” Throughput on the y-axis, interactivity on...
NVIDIA named AMD’s flagship as the yardstick — and quantified the chiplet tax.
“Chiplet architectures are really becoming the legacy CPU architecture... chiplets levy a heavy tax on memory bandwidth and data movement.”
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The writers behind this newsletter.
System-level analysis on AI infrastructure. Hardware, software, and models — first principles, before the consensus. Read by hedge funds, asset managers, and the engineers building the stack. NVDA holder since 2016.
Semiconductor, AI Infra, DRAM/SSD | PhD in Computer Engineering
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