
NVMe Hard Drives: Seagate's Answer to Growing AI Storage Demands
Seagate is advancing in NVMe technology for large-capacity hard drives as the growing storage needs in AI systems and apps continue to rise. Old and current storage setups struggle to handle the huge datasets needed for machine learning, which now reach petabyte and even exabyte sizes. Today's storage options have many drawbacks for AI tasks. SSD-based systems offer the needed speed however it is not cost-effective for storing large AI training data. SAS/SATA hard drives are cheaper however, the interfaces rely on proprietary silicon, host bus adapters (HBAs), and controller architectures that struggle with the high-throughput, low-latency needs of AI's high data flow.
Seagate's "new idea" is to use NVMe technology in large-capacity hard drives. This creates a solution that keeps hard drives cost-effective and dense while boosting performance for AI apps. NVMe hard drives will not need HBAs, protocol bridges, and additional SAS infrastructure, allowing seamless scalability by integrating high-density hard drive storage with high-speed SSD caching in a unified NVMe architecture.
Seagate's "new idea" is to use NVMe technology in large-capacity hard drives. This creates a solution that keeps hard drives cost-effective and dense while boosting performance for AI apps. NVMe hard drives will not need HBAs, protocol bridges, and additional SAS infrastructure, allowing seamless scalability by integrating high-density hard drive storage with high-speed SSD caching in a unified NVMe architecture.