In AI data centers, the adoption of SSDs is becoming increasingly significant, reflecting their importance in handling AI workloads. As of recent trends, SSDs are estimated to make up around 60% to 70% of the storage in AI data centers. This shift is primarily due to the performance benefits SSDs offer, such as faster data access speeds, higher IOPS (Input/Output Operations Per Second), and lower latency compared to HDDs (Hard Disk Drives) [[❞]](https://cloudtweaks.com/2024/04/ssd-controllers-ai-centers-jb-baker-future-storage/) [[[[❞]](https://www.mordorintelligence.com/industry-reports/solid-state-drive-market).
SSDs are particularly favored for AI and machine learning applications because they can efficiently handle the intensive data processing requirements. This includes the ability to provide the high throughput and low latency necessary for real-time data analysis and processing, which are critical in training and deploying AI models [[❞][[❞]](https://cloudtweaks.com/2024/04/ssd-controllers-ai-centers-jb-baker-future-storage/).hile HDDs are still used in data centers for their cost-effective storage capacity, particularly for archival and backup purposes, the trend clearly indicates a growing preference for SSDs in performance-critical AI applications. This is also supported by the declining cost of SSDs, making them more accessible and justifiable for broader use in data centers [[❞]]([[❞]](https://www.mordorintelligence.com/industry-reports/solid-state-drive-market).