GreedySnake: Optimizing Large Language Model Training with SSD-Based Offloading

This research addresses a critical bottleneck in large language model (LLM) training by optimizing data access through SSD offloading. The paper likely introduces novel scheduling and optimizer step overlapping techniques, which could significantly reduce training time and resource utilization.

• •Addresses efficiency challenges in LLM training.
• •Utilizes SSD offloading for improved data access.
• •Likely presents novel scheduling and optimization techniques.