Full metadata
Title
Collaborative Thesis - GPU vs CPU: AI and the Xeon Business
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.
Date Created
2024-05
Contributors
- Livesay, Thomas (Author)
- Kujawa, Brennan (Co-author)
- Ulreich-Power, Cameron (Co-author)
- Mostaghimi, Dunya (Co-author)
- Simonson, Mark (Thesis director)
- Hertzel, Mike (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Finance (Contributor)
Topical Subject
Resource Type
Extent
30 pages
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2023-2024
Handle
https://hdl.handle.net/2286/R.2.N.192454
System Created
- 2024-04-12 01:19:17
System Modified
- 2024-05-16 04:41:04
- 6 months 1 week ago
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