Frederick Thiel
Analyst · JPMorgan.
Yes. I think as I said in my opening remarks, this isn't a relationship that just starts with the signing of this agreement. It's been developing for quite some time. And we've been very actively working with prospective tenants. As I mentioned, the permits have been submitted already for some sites. And we are actively engaged with tenants. And the idea with working with Starwood was, again, manyfold. On the one hand, having a partner who has relationships with the tenants and that the tenants already trust, if you think about Starwood, they have built and operated sites for, I believe, 3 of the 4 Tier 1 hyperscalers. And having those relationships and the trust that exists because those relationships dramatically reduces, let's just say, the courtship period that a newcomer to the market like ourselves would have to do. And so because of that trust, it's easy for Starwood and prospective tenants to have a very accelerated time line on the process of evaluating a site, submitting permits, getting things going such that we can work towards getting leases done in a more accelerated fashion than if we had done it ourselves. Additionally, Starwood's captive EPC capabilities, again, dramatically facilitate the ability to build and execute these things in a very efficient and timely manner. The single biggest challenge today for hyperscalers is the ability to have certainty about power availability. And Bitcoin miners provide a lot of certainty because of the fact that we're currently consuming the power. One of the advantages with some of what we've done also is that we have been already operating inference on one of our sites in a containerized fashion. And if a tenant were to be interested in a modular approach versus a traditional box approach, if you would, of building a large building, especially for inference applications -- and just as a reminder, Jensen Huang, in his comments, said inference is where the revenue is in AI, and inference is becoming the most important part of AI deployments today. And we believe that we're going to see a lot of advancement in the side of how these sites are designed, how these sites are constructed, which will align very well with the experience that we've previously developed in this area.