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Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation
Subject area: Science,Engineering and Technology · Area of research: GPU as a Service
DOI: https://doi.org/10.64388/IREV10I1-1719378
Abstract
The rapid advancement of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Big Data Analytics, and Generative AI technologies has significantly increased the demand for high-performance computing infrastructure across enterprises worldwide.
How to cite this paper
Sayyed Kishwar Fatima, Dr. Abdul Majid Farooqi "Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026, doi: https://doi.org/10.64388/IREV10I1-1719378
Sayyed Kishwar Fatima, Dr. Abdul Majid Farooqi (2026). Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation. Iconic Research And Engineering Journals, 10(1). doi: https://doi.org/10.64388/IREV10I1-1719378
Sayyed Kishwar Fatima, Dr. Abdul Majid Farooqi "Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026. Crossref, https://doi.org/10.64388/IREV10I1-1719378
@article{1719378,
author = {Sayyed Kishwar Fatima, Dr. Abdul Majid Farooqi},
title = {Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {1},
pages = {651-653},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1719378.pdf},
abstract = {The rapid advancement of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Big Data Analytics, and Generative AI technologies has significantly increased the demand for high-performance computing infrastructure across enterprises worldwide.},
month = {July},
doi = {https://doi.org/10.64388/IREV10I1-1719378}
}