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Artwork for The Software Frontier

Where abstraction ends. Essays on GPU execution, kernel internals, and distributed systems at scale.

Platform
Substack
PricingFreemiumPublishesTwice weekly
Issues120Founded2 years agoLast Issue4 days ago
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Artwork for The Software Frontier

Latest Issues

LLM Inference Benchmarks: Seven Stopwatches, One Server

Intro

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...

4 days ago
8
2

Inside Google’s TPU: How it works, and what it costs

Introduction

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...

11 days ago
9

A wonderful dive into how FP4 works

Intro

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...

13 days ago
4

Why Cached Tokens Cost 10% and Vanish in 5 Minutes

Introduction

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...

18 days ago
3

How Mojo Actually Compiles

Introduction

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...

23 days ago
5

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Authors

The writers behind this newsletter.

  • Lorenzo Bradanini

    Self-taught software engineer skilled in data science, software engineering, ML, and cryptography, focused on developing innovative solutions to complex challenges.

  • Lorenzo Tettamanti

    BSc Physics student at the University of Milan. Interested in Machine Learning | Computational Physics | Artificial Intelligence | Physics Simulations

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