Native integration of Google’s Rapid Bucket with PyTorch via fsspec reduces GPU idle times through improved data throughput during model training.

Rapid Bucket reduces data loading latency during PyTorch training through direct connection to Google’s Colossus storage via gRPC instead of REST.

AlphaEvolve, Google’s AI agent for algorithm development, now contributes to breakthroughs in mathematics, health, sustainability, and infrastructure optimization, evolving from a research project into a productive core component of Google’s systems.