High-Performance Computing

The AI Magic Trick Is Actually a Memory Problem

Most of what looks like “intelligence” in LLMs is actually a sophisticated memory management problem. vLLM’s breakthrough — treating the KV cache like an operating system pages memory — reveals that the next wave of AI gains won’t come from bigger models, but from smarter cache design. The battle between radix attention and paged attention is the real frontier, and whoever masters memory hierarchy will dominate the next decade of AI.

Fortran Should Be Dead. It’s Winning Instead.

Fortran shouldn’t exist in 2024. It’s older than the microchip, uglier than Python, and clunkier than Rust. Yet it runs our weather forecasts, climate models, and nuclear simulations. The reason isn’t inertia — it’s that Fortran’s restrictive design forces compiler optimizations modern languages can’t achieve. Flexibility is a tax, and the bill comes due at the silicon.