Adoption of GPU-as-a-Service (GPUaaS) for Enterprise AI Workloads: Role of System Integrators in Digital Transformation
  • Author(s): Sayyed Kishwar Fatima; Dr. Abdul Majid Farooqi
  • Paper ID: 1719378
  • Page: 651-653
  • Published Date: 08-07-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 10 Issue 1 July-2026
  • 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.

Citations

IRE Journals:
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 Volume 10 Issue 1 2026 Page 651-653 https://doi.org/10.64388/IREV10I1-1719378

IEEE:
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

APA:
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

MLA:
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

BibTeX

@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}
}