AI infrastructure investor. Power, cooling, memory, networking: the bottlenecks. MA Economics | UK senior treasury analyst | Public track record since 2025
Gavin Baker says standing up a GPU cloud is like running a Formula One team, and CoreWeave, Crusoe, Nebius, SpaceX and the hyperscalers are the ones who can do it
“But standing up a big GPU cloud, not just bringing on the power, standing up the cluster, it’s like running a Formula One team.”
“And a bunch of people who have no real relevant experience, whatever, they acquire some land and some power and then they get a zero down payment offtake agreement from someone. And a lot of that is being cleaned up.”
“And I think, this is a forcing function to allocate GPUs to people who can actually bring on a cluster, energize the GPUs, run it well.”
“Like, running a Formula One team, it’s like really hard. You gotta like pack everything up, put it on a plane, go to a new city, unpack it, set it up, set the car up. You need all the people to change the tires, to change the rear wing if you get in a collision, to do whatever needs to be done during the race, to do the strategy, to communicate with the driver. It’s really, really hard.”
“And some of these people, they don’t have the relevant experience. CoreWeave, Crusoe, Nebius, SpaceX, the big hyperscalers, these are companies that can bring on GPUs and energize them and run them.”
Rising power demand and rising compute prices are tailwinds for neoclouds.
The only real headwind is the cost of borrowing. $IREN's customers prepay 45–55% of GPU capex, and its debt is locked in at favourable rates.
So why would any of this be bearish for $IREN?
Sometimes upside isn’t the only measure though. When we compare to risk it’s one of the stocks with the lowest risk profile. Risk / Reward is strongly in favour of $MU here. Lots of upside with very little risk. I agree there are other companies that can produce a greater potential return.