Scaling AI Checkpoints: The Impact of High-Capacity SSDs on Model Training

Checkpointing is critical to AI model training, ensuring resilience, efficiency, and the ability to resume or fine-tune training from saved states.

Checkpointing is critical to AI model training, ensuring resilience, efficiency, and the ability to resume or fine-tune training from saved states. However, the demands of modern AI workloads, with increasingly complex models and extensive training datasets, push storage to its limit. Enter the new capacious Solidigm D5-P5336 SSD, harnessing an industry-leading capacity of 122TB.

The Role of Checkpoints in AI Workflows