AI Is a 5-Layer Cake

2026-03-10 · Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

NVIDIA CEO Jensen Huang stated at Davos that AI is driving the "largest infrastructure buildout in human history," encompassing energy, computing, AI models, and applications. He described AI as a "five-layer cake" of innovation, starting with the silicon and system layer, followed by system software, then the AI model layer, the application layer, and finally, the data layer. Huang emphasized that every company and country needs to build its own AI infrastructure, likening it to a new form of electricity. He also highlighted the significant energy demands of AI, noting that future data centers will be "AI factories" that generate data rather than just processing it, requiring substantial energy production.

Key takeaway

For CTOs and AI Architects planning future infrastructure, recognize that AI demands a comprehensive, multi-layered buildout, not just software. Your organization must develop its own AI infrastructure, from silicon to data, and critically, secure sufficient energy resources to power these "AI factories" for data generation.

Key insights

AI is initiating the largest infrastructure buildout ever, requiring every entity to develop its own AI infrastructure.

Principles

• AI is a "five-layer cake" of innovation.
• Data centers are evolving into "AI factories."

In practice

• Build sovereign AI infrastructure.
• Invest in energy production for AI.

Topics

• AI Infrastructure
• Jensen Huang
• NVIDIA
• Davos
• AI Models

Best for: Investor, VP of Engineering/Data, Director of AI/ML, AI Architect, CTO, Executive

Related on AIssential

• GTC preview: Inside the AI factory — The $1T infrastructure war under the hood of the AI economy — The AI industry is shifting from software to industrial-scale intelligence manufacturing, driven by massive infrastructure investments and supply chain constraints.
• The End Of The Public Cloud — Nvidia's "AI factories" offer dedicated, on-premise compute for large enterprises seeking workload control.
• The Sequence Radar #861: Last Week in AI: IPOs, Interactive Models, and Recursive Dreams — AI's evolution emphasizes agentic capabilities, interactive models, and automated self-improvement, alongside critical hardware and market dynamics.
• Google's in a CRAZY position — Proactive infrastructure investment and manufacturing-based data center deployment mitigate AI compute constraints.
• Alphabet Leads as Big Tech Turbocharges AI Infrastructure — Big Tech is rapidly escalating AI infrastructure investment, moving beyond incremental buildouts to hyperscale deployment.
• The Rundown’s 2025 year in review — 2025 saw rapid AI advancements, significant investments, and substantial growth in AI-focused communities and educational platforms.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.