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 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.
Details
Title
- GPU vs CPU: AI and the Xeon Business
Contributors
- Ulreich-Power, Cameron (Author)
- Kujawa, Brennan (Co-author)
- Mostaghimi, Dunya (Co-author)
- Livesay, Thomas (Co-author)
- Simonson, Mark (Thesis director)
- Hertzel, Mike (Committee member)
- Barrett, The Honors College (Contributor)
- Dean, W.P. Carey School of Business (Contributor)
- Department of Finance (Contributor)
- Department of Economics (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2024-05
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