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Feasibility Study of Edge Computing Empowered by Artificial Intelligence—A Quantitative Analysis Based on Large Models
- Source :
- Big Data and Cognitive Computing, Vol 8, Iss 8, p 94 (2024)
- Publication Year :
- 2024
- Publisher :
- MDPI AG, 2024.
-
Abstract
- The advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is urgently required. Edge computing has emerged as an increasingly popular solution to this problem. In this study, we explore the development history of edge computing and AI and analyze the potential of model quantization to link AI and edge computing. Our comparative analysis demonstrates that the quantization approach can effectively reduce the model’s size and accelerate model inference while maintaining its functionality, thereby enabling its deployment on edge devices. This research serves as a valuable guide and reference for future advancements in edge AI.
- Subjects :
- edge computing
artificial intelligence
large models
quantization
Technology
Subjects
Details
- Language :
- English
- ISSN :
- 25042289
- Volume :
- 8
- Issue :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- Big Data and Cognitive Computing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.43c74e4b0c3645acaca5db527a4dd545
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/bdcc8080094