John Cardente

While GPUs often steal the limelight, it’s essential to recognize the significant role that storage plays in Artificial Intelligence (AI) infrastructure solutions. Throughout the entire AI lifecycle, from data preparation to pre-training, fine-tuning, checkpointing, and inference, storage systems are critical. They not only keep GPUs busy but also safeguard valuable data. In this presentation, we delve into each of these stages, using concrete examples to highlight common patterns and identify key requirements, particularly related to performance.