Infrastructure for deep learning

Deep learning infrastructure quality acts as a multiplier for research progress and development. The current open-source ecosystem provides tools that enable anyone to build high-quality deep learning infrastructure.

• →Deep learning is characterized as an empirical science where infrastructure quality directly impacts progress.
• →Infrastructure serves as a multiplier effect on deep learning research and development outcomes.
• →Open-source tools have democratized access to building quality deep learning infrastructure.
• →Today's ecosystem makes advanced deep learning infrastructure accessible to broader audiences.
• →Quality infrastructure is positioned as a critical competitive advantage in deep learning.