Email this article Alternatives to Nvidia Jetson Embedded Computer Modules
- Authors: Medvedev A.1
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Affiliations:
- АО «НПК «Атроник»
- Issue: No 4 (2025)
- Pages: 112-115
- Section: Industrial Electronics and Embedded Systems
- URL: https://journals.eco-vector.com/1992-4178/article/view/684718
- DOI: https://doi.org/10.22184/1992-4178.2025.245.4.112.115
- ID: 684718
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Abstract
The article examines various architectures of central processors for accelerating work with artificial neural networks. Examples of domestic computing modules and blocks for machine vision systems, video analytics and optical navigation are presented.
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About the authors
A. Medvedev
АО «НПК «Атроник»
Author for correspondence.
Email: mav@atronik.ru
заместитель технического директора
Russian FederationReferences
- NVIDIA Celebrates 1 Million Jetson Developers Worldwide at GTC // https://blogs.nvidia.com/blog/million-jetson-developers-gtc/.
- Медведев А.В. Обзор отечественных компьютерных модулей формата SMARC // ЭЛЕКТРОНИКА: Наука, Технология, Бизнес. 2023. № 10. С. 88–94.
Supplementary files
Supplementary Files
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1.
JATS XML
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Fig. 1. TPU architecture example
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Table 1_Fig. 1
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Table 2_Fig. 2
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Table 1_Fig. 3
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Fig. 2. Comparison of performance of computer modules of NPK Atronic with the analog from Nvidia when working with neural networks
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Fig. 3. Onboard trusted computing platform produced by Atronic Research and Development Company
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Fig. 4. On-board calculator produced by Atronic for UAVs
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Fig. 5. Intelligent cyber-secured IP video camera produced by Atronic Research and Production Company
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