Cloud GPUs are great until the bill becomes the product.
Our bias is local compute with cloud as overflow, not identity.
The two-machine pattern
- Mac Studio — orchestration, sites, vision (MLX), twin serving, operator apps
- CyberPower — heavier text inference / training-adjacent workloads on a local GPU service
- Tunnels — Cloudflare for public face without turning the whole house into a datacenter cosplay
Why it matters for creators and artists
- Fan-facing automation should not depend on a single SaaS outage
- Model experiments (twins, vision gates) need repeatable local paths
- Cost curves stay honest when you can see electricity and hardware, not just invoices
FAQ
Is everything offline?
No. Public sites and some APIs are networked. The brains prefer local.
Why not 100% cloud AI?
Control, cost, and data gravity—especially around private corpora.
What's the starter sovereign move?
One local model endpoint you actually monitor—not ten abandoned demos.
Where does this show up publicly?
The operator essays on this desk.