Five reasons neoclouds choose AMD Instinct™ MI350P with LIQID.One model per GPU means one sellable unit per GPU, on one server.
You sell GPU-hours, and GPU-hours are a commodity. Airlines don’t sell seats by the pound; they sell fare classes on one aircraft.
144 GB of HBM3E per GPU with about 4 TB/s of bandwidth. Memory-hungry inference customers pay a premium, and memory is what you sell them.
Each GPU runs its own model: a catalog tier, or a tenant’s own fine-tuned model. Isolation is easy to explain: one tenant, one card.
The AMD enterprise AI stack is open source. Licensing fees leave the bill of materials instead of scaling with your GPU count.
Fewer servers means fewer licenses, less networking and less rack space, so your cost per token falls. What you charge on top is a product decision, not a price war.
Operators adding a second GPU source treat it as a differentiator, not a hedge: capacity you can add now, on an architecture you control.