Architectures for Accelerated AI: A Survey of Platforms from Data Centers to Vision-Based Systems

Anshu Naikodi; Archana C K | D Sathya Preetham; Ananya R

Title:
Architectures for Accelerated AI: A Survey of Platforms from Data Centers to Vision-Based Systems

Authors:
Ananya R | Anshu Naikodi | Archana C K | D Sathya Preetham

Cite This Article :

Ananya R | Anshu Naikodi | Archana C K | D Sathya Preetham "Architectures for Accelerated AI: A Survey of Platforms from Data Centers to Vision-Based Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3, June 2025, pp.675-680, URL: https://www.ijtsrd.com/papers/ijtsrd80044.pdf

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Abstract :
The research evaluates modern developments in artificial intelligence (AI) and machine learning (ML) about their use in hardware acceleration platforms and data center systems and live systems including autonomous vehicle technology and recommendation engines. Efficient architectural designs for AI chips need emphasis because the industry is expected to generate $70 billion revenue by 2026. The paper shows how artificial intelligence training platforms at Facebook Zion scale up to edge computing designs such as RNNAccel. The research reviews both YOLOv3 and SSD-ResNet with CenterNet within object detection models while investigating the low-memory solution HarDNet. The paper demonstrates how machine learning has merged with vision-based autonomous systems through analyses of navigation integration. This demonstrates the developing combination between hardware systems and optimization software. Multiple research documents show that AI technologies rapidly expand through various computational settings.

Keywords :
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Publication Details:

Unique Identification Number : IJTSRD80044

Published In : Volume-9 | Issue-3, June 2025

Page Number(s) : 675-680

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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