Solid State Drive: Opportunity, Method, and Apparatus to Address Artificial Intelligence Infrastructure Data Storage Challenges |
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| © 2025 by IJCTT Journal | ||
| Volume-73 Issue-5 |
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| Year of Publication : 2025 | ||
| Authors : Joydeep Das | ||
| DOI : 10.14445/22312803/IJCTT-V73I5P116 | ||
How to Cite?
Joydeep Das, "Solid State Drive: Opportunity, Method, and Apparatus to Address Artificial Intelligence Infrastructure Data Storage Challenges," International Journal of Computer Trends and Technology, vol. 73, no. 5, pp. 125-132, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I5P116
Abstract
This document examines the computing and data storage infrastructure requirements necessary to support the ever evolving demands of artificial intelligence workloads. It deeply explores AI trends and evaluates whether AI infrastructure presents a genuine opportunity for solid-state storage technology to broaden its use cases. This document discusses the history of AI, the diverse workload requirements for data storage across various phases of AI infrastructure, and the risks associated with current artificial infrastructure demands. Additionally, it highlights the potential for solid-state drives to deliver more efficient data storage features for future AI infrastructure deployment.
Keywords
Artificial Intelligence, Data storage, Solid state drives, Infrastructure, Computational storage, CXL Memory, Inference, Compute offloading, CXL hybrid module, NVMe, NVMe-OF. .
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