Only a few companies can afford to build and study advanced AI models, impacting independent nonprofit research.
Graphics processing units (GPUs) are essential for training and deploying AI models, but are expensive. Big Tech companies like Meta, Microsoft, and xAI have spent billions on them.
The state of California launched CalCompute, an initiative to build a public GPU cluster for startups and non-profit researchers. Similar pilots exist in New York state and at the federal level.
Recent AI advances have come from making models bigger, analyzing more data, and using more compute, building on concepts first explored in academia.
Access to computing power has gotten out of reach for those without deep pockets.
Author's summary: California explores public GPU infrastructure for AI research.