AIBullisharXiv – CS AI · Feb 277/108
🧠
FlashOptim: Optimizers for Memory Efficient Training
FlashOptim introduces memory optimization techniques that reduce AI training memory requirements by over 50% per parameter while maintaining model quality. The suite reduces AdamW memory usage from 16 bytes to 7 bytes per parameter through improved master weight splitting and 8-bit optimizer state quantization.