Thank you Neil, and forgive me for missing this notification.
So, three profiles use our capacity today.
AI inference teams that need dedicated, low-latency compute without the wait — typically scaling a production workload that public cloud can't serve cost-effectively at their volume.
European enterprises in regulated sectors — financial services, healthcare, defense adjacents — where data jurisdiction isn't optional and US-incorporated cloud providers carry structural legal risk under the CLOUD Act.
And AI-native companies that have outgrown shared infrastructure but aren't ready to build their own facility. They want the economics of ownership without the 36-month construction timeline.
Three profiles use our capacity today.
AI inference teams that need dedicated, low-latency compute without the wait — typically scaling a production workload that public cloud can't serve cost-effectively at their volume.
European enterprises in regulated sectors — financial services, healthcare, defense adjacents — where data jurisdiction isn't optional and US-incorporated cloud providers carry structural legal risk under the CLOUD Act.
And AI-native companies that have outgrown shared infrastructure but aren't ready to build their own facility. They want the economics of ownership without the 36-month construction timeline.
Great pitch. What kind of customer uses your capacity?
Thank you Neil, and forgive me for missing this notification.
So, three profiles use our capacity today.
AI inference teams that need dedicated, low-latency compute without the wait — typically scaling a production workload that public cloud can't serve cost-effectively at their volume.
European enterprises in regulated sectors — financial services, healthcare, defense adjacents — where data jurisdiction isn't optional and US-incorporated cloud providers carry structural legal risk under the CLOUD Act.
And AI-native companies that have outgrown shared infrastructure but aren't ready to build their own facility. They want the economics of ownership without the 36-month construction timeline.
Three profiles use our capacity today.
AI inference teams that need dedicated, low-latency compute without the wait — typically scaling a production workload that public cloud can't serve cost-effectively at their volume.
European enterprises in regulated sectors — financial services, healthcare, defense adjacents — where data jurisdiction isn't optional and US-incorporated cloud providers carry structural legal risk under the CLOUD Act.
And AI-native companies that have outgrown shared infrastructure but aren't ready to build their own facility. They want the economics of ownership without the 36-month construction timeline.