Description
The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry

The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our thesis aims to analyze market dynamics between CPUs and GPUs-whether they present distinct markets or compete against each other. We seek to guide Company X in maximizing profitability and sustaining its pivotal role in the semiconductor industry amidst the AI revolution. Specifically, we discuss optimizing their GPU offering, Falcon Shores, towards specific markets and doubling down on the production of CPUs.
Reuse Permissions
  • 1.28 MB application/pdf

    Download restricted. Please sign in.
    Restrictions Statement

    Barrett Honors College theses and creative projects are restricted to ASU community members.

    Details

    Title
    • Collaborative Thesis - GPU vs CPU: AI and the Xeon Business
    Contributors
    Date Created
    2024-05
    Resource Type
  • Text
  • Machine-readable links