
Where abstraction ends. Essays on GPU execution, kernel internals, and distributed systems at scale.
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 120 | Founded | 2 years ago | Last Issue | 4 days ago |
| Active | |||||

Most of the pieces I’ve written here end with a number. A critical batch size, a cost per million tokens, a speedup from speculation. Somewhere down the chain, almost every one of those numbers rests on somebody’s benchmark, and a...
Full disclosure before we start: I’ve never run a program on a TPU. For most of the last decade that was the normal condition of anyone who wrote about accelerators from outside Google.
The chips lived in Google’s data c...
The first thing about FP4 that I could not explain to myself was a byte. NVFP4 and MXFP4 use the same 4-bit element, E2M1: one sign bit, two exponent bits, one mantissa bit. A Blackwell tensor core multiplies the same sixteen code...
Every coding agent works the same way underneath. At each step it sends the model everything it has so far, the system prompt, the tool definitions, every file it opened and every command it ran, followed by one new tool re...
Four days after Modular shipped Mojo 1.1, I did what I just always do with a brand new compiler. I installed it in a container with one CPU core and no GPU, wrote a kernel that doubles a vector, and asked for PTX for an H10...
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The writers behind this newsletter.
Self-taught software engineer skilled in data science, software engineering, ML, and cryptography, focused on developing innovative solutions to complex challenges.
BSc Physics student at the University of Milan. Interested in Machine Learning | Computational Physics | Artificial Intelligence | Physics Simulations
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