Infrastructure for deep learning
OpenAI Blog
A group's deep learning infrastructure acts as a multiplier on research progress, determining how effectively teams can conduct experiments and develop models. Open-source tools and frameworks are now mature enough that researchers without specialized resources can build competitive infrastructure setups. This democratization of tools means infrastructure quality no longer primarily depends on institutional funding or proprietary systems.
Why it matters
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
