.@nvidia is no longer just in the chip-making game. It is positioning itself as a direct participant in the economics of AI infrastructure.

From the recent announcements, they're financing data centers and taking a share of the cloud revenue they generate.
Two recent partnerships illustrate the shift perfectly:
210,000 GPUs tied to $25–30B in committed offtake over six years
> Sharon AI $SHAZ deploying 40,000 GB300s in Australia
> Firmus scaling to 170,000 accelerators across 360MW in Batam
At the same time, Nvidia and partners introduced XFRA, the liquid-cooled GPU systems for distributed deployment, even at small scale. A 100-unit trial is underway, with claims of 5x lower cost and 6x faster builds than hyperscale.
The shift is strategic. Nvidia is moving from selling hardware to capturing a share of what those GPUs earn in production. It now spans chips, system design, software, and increasingly financing, making coordination far more manageable.
The real constraint lies elsewhere: aggregating GPUs you don’t manufacture, run by operators you don’t control, into clusters that behave like a single machine.
That is the hard problem this approach is meant to solve.