In the digital infrastructure industry, clients' primary challenge is the high hardware cost, particularly NVIDIA GPUs, which are essential for AI and machine learning.
This cost barrier can be prohibitive, but having the proper infrastructure can appeal to organizations.
The effectiveness of digital infrastructure investments varies depending on the company's nature, seniority, and experience with colocation and technology provisioning.
When evaluating technology solutions, it's crucial to manage expectations and ensure accurate comparisons.
This video is excerpted from the podcast Ep. #64 Jeremy Coyle, Account Manager of Management Science Associates | Data Center Go-to-Market Podcast.
Action Items
- Educate clients on the true cost of digital infrastructure, including NVIDIA GPUs, and help them compare apples to apples.
- Provide the right solution and infrastructure to help clients get past the upfront hardware costs and leverage the benefits of a data center.
Outline
Cost Challenges in Digital Infrastructure
- Joshua Feinberg inquires about the most significant issues in the digital infrastructure industry, mainly focusing on colocation providers and their clients' challenges.
- Jeremy Coyle identifies cost as a significant barrier, especially with the increasing demand for hardware, especially NVIDIA GPUs, which are essential for AI and machine learning.
- Jeremy highlights that the high cost of NVIDIA GPUs can be prohibitive, making it difficult for organizations to invest in the necessary hardware.
- Jeremy believes that having the right infrastructure in place can make data center operations appealing to many organizations despite the cost challenges.
- Joshua agrees, emphasizing the importance of managing expectations and ensuring accurate comparisons when evaluating technology and digital infrastructure investments.
Resources
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