Optimizing Enterprise AI Adoption with Converged Infrastructure: The Role of NVIDIA AI Enterprise and VMware in Streamlining IT Stack and Enhancing Resource Allocation

Authors

  • Sriramaraju Sagi NetApp, USA.  Author

DOI:

https://doi.org/10.47363/JAICC/2024(3)214

Keywords:

Converged Infrastructure, AI, NVIDIA AI Enterprise, VMware, NetApp, Cisco, Enterprise AI

Abstract

This research paper, titled "Streamlining IT Stack and Enhancing Resource Allocation; The Role of NVIDIA AI Enterprise and VMware" explores the benefits of combining NVIDIA AI Enterprise and VMware technologies to optimize IT infrastructure in businesses. By integrating these technologies organizations can effectively. Scale their AI initiatives focusing on innovation and extracting insights, from data. The paper highlights the importance of a integrated infrastructure, for hosting large scale language models and discusses how converged infrastructure eliminates the complexities associated with hardware and software. It emphasizes how this collaboration ensures performance, scalability, security and cost effectiveness enabling enterprises to leverage the potential of AI. To demonstrate the effectiveness of this approach the research includes testing with Cisco and NetApp converged infrastructure to deploy and manage AI models successfully. Ultimately this study showcases how businesses can gain an edge in todays evolving AI landscape.

Author Biography

  • Sriramaraju Sagi , NetApp, USA. 

    Sriramaraju Sagi, NetApp, USA. 

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Published

2024-01-27

How to Cite

Optimizing Enterprise AI Adoption with Converged Infrastructure: The Role of NVIDIA AI Enterprise and VMware in Streamlining IT Stack and Enhancing Resource Allocation. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(1), 1-4. https://doi.org/10.47363/JAICC/2024(3)214

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