Navigating the Terrain: Scaling Challenges and Opportunities in AI/ML Infrastructure

José Gabriel  Carrasco Ramírez; Md.Mafiqul  Islam

doi:10.60087/jaigs.v2i1.111

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Published: Mar 30, 2024

DOI: https://doi.org/10.60087/jaigs.v2i1.111

Keywords:

AI/ML infrastructure scaling challenges computational resources data management parallel processing algorithmic optimization

José Gabriel Carrasco Ramírez

Lawer graduated at Universidad Católica Andrés Bello. Caracas. Venezuela. / CEO, Quarks Advantage. Jersey City, United States. / Director at Goya Foods Corp., S.A. Caracas. Venezue

Md.Mafiqul Islam

Department of Information Science and Library Management, University of Rajshahi, Bangladesh.

Abstract

Navigating the complexities of scaling AI/ML infrastructure unveils a terrain rife with challenges and opportunities. This exploration delves into the multifaceted landscape, addressing key aspects such as resource expansion, data management, parallel processing, algorithmic optimization, orchestration, monitoring, streamlined pipelines, automation, financial considerations, and security. By embracing innovation and resilience, organizations can effectively harness the potential of AI and ML technologies while mitigating scalability hurdles.

How to Cite

Carrasco Ramírez, J. G. ., & Islam, M. . (2024). Navigating the Terrain: Scaling Challenges and Opportunities in AI/ML Infrastructure. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 2(1), 241–250. https://doi.org/10.60087/jaigs.v2i1.111

Issue

Vol. 2 No. 1 (2024): Advancements in Artificial intelligence: From Theory to Application

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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