Wired says Nvidia’s AI advantage comes from its CUDA software

In short: Nvidia’s lead in AI is not only about chips, it is also about CUDA, the software many AI tools are built around.

What's going on

A Wired article argues that Nvidia’s strongest advantage in AI is CUDA, a set of software tools that helps developers use Nvidia graphics chips, called GPUs, for heavy computing work. GPUs were first popular for video game graphics, but they turned out to be very good at doing many small calculations at the same time.

Think of it like filling in a multiplication table. A regular computer can do the math one step at a time. A GPU can split the work across many workers at once (like several people each taking a column), which can make training AI models faster and cheaper.

CUDA matters because many popular AI frameworks, which are the toolkits researchers use to build and train AI, are designed to work best with it. That creates a lock-in effect, meaning it is harder to switch to another chip maker even if their chips look good on paper. Wired says rivals have tried alternatives, including OpenCL and AMD’s ROCm, but CUDA remains the default choice for much of the AI world.

What to watch

The big question is whether competitors can build software that is easier to use and runs as well on non Nvidia chips. Wired notes that deeper performance tuning is difficult and requires rare specialists, which helps Nvidia keep its lead. For buyers, this can affect the price and availability of AI computing, since strong demand for Nvidia hardware is tied to the software ecosystem around it.

Source: Wired