NVIDIA and OpenAI announced a landmark strategic partnership to deploy at least 10 gigawatts of NVIDIA systems — representing millions of GPUs for OpenAI’s next-generation AI infrastructure.
The Deal:
- $100 billion — NVIDIA’s intended investment as systems deploy
- 10 gigawatts — Total power capacity commitment
- Millions of GPUs — Scale of deployment
- H2 2026 — First gigawatt targets NVIDIA Vera Rubin platform
For Context — What 10 Gigawatts Means:
- Equivalent to powering ~7.5 million homes
- More than the entire power consumption of some small countries
- Represents a 20x scale-up from typical large data centers
The Diversification Counter-Move:
Hyperscalers are hedging against NVIDIA dependency:
- Meta reportedly negotiating to rent Google Cloud TPUs starting 2026
- Amazon’s Nova 2 models trained on custom Trainium chips
- Google developing TPU alternatives
This creates a more nuanced competitive landscape where NVIDIA dominance faces subtle but growing pressure.
This is part of a comprehensive analysis of 20+ AI business trends for 2026. Read the full analysis on The Business Engineer.









