Google Cloud Generative AI

  • Unique Paper ID: 186289
  • PageNo: 999-1005
  • Abstract:
  • Artificial Intelligence (AI) has entered a new era with the rise of Generative AI, which enables systems not only to analyze but to create new and meaningful content. Google Cloud has emerged as a global leader in this field by integrating powerful generative models like Gemini, Imagen, and Chirp within its scalable Vertex AI platform. These models allow the generation of human-like text, realistic images, audio, and even code using natural language prompts. The purpose of this paper is to study the architecture, components, and applications of Google Cloud Generative AI and to understand how it is revolutionizing industries such as education, design, entertainment, and enterprise automation. The research explores the unified multimodal framework of Gemini, which can process text, images, audio, and video simultaneously - a major advancement over traditional single-modality AI models. The paper also highlights Vertex AI Studio and Generative AI App Builder, which simplify model tuning, API integration, and real-time deployment, even for non-technical users. By leveraging cloud-based scalability, advanced data security, and user-friendly APIs, Google Cloud Generative AI empowers organizations to innovate faster and at a lower cost. The study concludes that Google’s approach is setting a new benchmark for democratizing AI creativity, fostering collaboration between humans and machines, and driving the next wave of digital transformation in the global economy.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{186289,
        author = {MS.ANURADHA ABASAHEB JAGDALE and MS.ASHWINI SANJAY AHIRE and DR. BERE S.S. and PROF.SURYAWANSHI AKSHAY M.},
        title = {Google Cloud Generative AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {999-1005},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186289},
        abstract = {Artificial Intelligence (AI) has entered a new era with the rise of Generative AI, which enables systems not only to analyze but to create new and meaningful content. Google Cloud has emerged as a global leader in this field by integrating powerful generative models like Gemini, Imagen, and Chirp within its scalable Vertex AI platform. These models allow the generation of human-like text, realistic images, audio, and even code using natural language prompts.
The purpose of this paper is to study the architecture, components, and applications of Google Cloud Generative AI and to understand how it is revolutionizing industries such as education, design, entertainment, and enterprise automation. The research explores the unified multimodal framework of Gemini, which can process text, images, audio, and video simultaneously - a major advancement over traditional single-modality AI models. The paper also highlights Vertex AI Studio and Generative AI App Builder, which simplify model tuning, API integration, and real-time deployment, even for non-technical users.
By leveraging cloud-based scalability, advanced data security, and user-friendly APIs, Google Cloud Generative AI empowers organizations to innovate faster and at a lower cost. The study concludes that Google’s approach is setting a new benchmark for democratizing AI creativity, fostering collaboration between humans and machines, and driving the next wave of digital transformation in the global economy.},
        keywords = {Google Cloud AI, Generative AI, PaLM API, Imagen, Vertex AI, Machine Learning, Artificial Intelligence.},
        month = {November},
        }

Cite This Article

JAGDALE, M. A., & AHIRE, M. S., & S.S., D. B., & M., P. A. (2025). Google Cloud Generative AI. International Journal of Innovative Research in Technology (IJIRT), 12(6), 999–1005.

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