This research introduces an intelligent approach for managing hybrid SSDs using large language models to balance performance and capacity.

• Addresses the complex optimization challenges of hybrid SSDs that contain multiple flash cell types
• Leverages LLMs to make optimal decisions on flash conversion timing and data migration
• Demonstrates how AI can navigate larger design spaces more effectively than traditional methods
• Potential for significant performance improvements in storage systems

This engineering innovation matters because storage optimization directly impacts system responsiveness, energy efficiency, and hardware longevity in modern computing infrastructure.

Managing Hybrid Solid-State Drives Using Large Language Models