Sitemap - 2026 - The Software Frontier

DeepSeek V4-Flash: The Cost of Deciding What to Read

Invite your friends to read The Software Frontier

How Blackwell’s Tensor Memory Actually Works

How CUDA Binaries Actually Work

How the NVIDIA Compiler Moat Actually Works

Kimi K3: 2.8 Trillion Parameters, Four Bits at a Time

Exploring how MLIR works: the compiler rewiring the AI stack

How LLVM Works: The IR That Took Over Modern Computing

The Wafer & the Wallet

The Router and the Wire

Decode Is Memory-Bound. Speculation Is the Arbitrage

The Split and the Seam

We wrote the CUDA reference we could not find

The Kill Switch Was in the Mail

How three companies set the price of intelligence

The Vertical and the Loop: valuation, compute, and the Anthropic IPO

The Blackwell Migration Question

How Systems Really Fail, Part IV

The Llama 3.3 70B Benchmark Problem

How Systems Really Fail, Part III

Start Here

How Systems Really Fail, Part II

How Systems Really Fail, Part I

We built the CUDA guide I wish I had three years ago

Mastering CUDA and High-Performance Computing, Part X

Mastering CUDA and High-Performance Computing, Part IX

Mastering CUDA and High-Performance Computing, Part VIII

Mastering CUDA and High-Performance Computing, Part VII

Mastering CUDA and High-Performance Computing, Part VI

Mastering CUDA and High-Performance Computing, Part V

Mastering CUDA and High-Performance Computing, Part IV

Mastering CUDA and High-Performance Computing, Part III

Mastering CUDA and High-Performance Computing, Part II

Mastering CUDA and High-Performance Computing, Part I

How Meta turned the Linux Kernel into a planet-scale Load Balancer. Part III

How Meta turned the Linux Kernel into a planet-scale Load Balancer. Part II

How Meta turned the Linux Kernel into a planet-scale Load Balancer. Part I

Can Time Be Computed? Part II

Can Time Be Computed? Part I

Beyond the Semantic Layer

If the Universe Computes, What Can It Not Compute?

Can Quantum Physics Compute Everything?