Building Your AI Infrastructure Team: NVIDIA Certification Roadmap for 2025
85,000 GPU engineer shortage drives salaries past $350K. NVIDIA certifies only 12,000 yearly vs 97,000 demand. Build your team with this 2025 roadmap.
Business & Strategy
Economics of AI infrastructure—TCO analysis, procurement strategies, vendor evaluation, and investment decision frameworks.
AI infrastructure represents one of the largest capital investments enterprises make today. A single GPU cluster can cost tens of millions of dollars—and the wrong decision can mean years of competitive disadvantage.
This hub covers the business side of AI infrastructure: from building the case for investment to optimizing the economics of deployed systems.
Strategic Topics
- TCO Analysis — Beyond acquisition cost: calculating the true total cost of GPU infrastructure ownership
- Build vs. Buy vs. Rent — On-premises vs. colocation vs. cloud: framework for infrastructure strategy decisions
- Procurement — RFP processes, vendor negotiation, and allocation strategies in a supply-constrained market
- Financial Modeling — Depreciation, utilization economics, and ROI frameworks for AI infrastructure investments
- Vendor Evaluation — Comparing hardware vendors, OEMs, and solution providers: what matters beyond specs
Smart AI infrastructure decisions require both technical depth and business acumen. Our strategy coverage helps you build the business case and make investments that deliver returns.
Essential Reading
All Business & Strategy Articles (15)
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