VPU Deployment Playbook

The purpose of this stage is to expand VPU deployment across workloads, regions, or environments with predictable economics and operational behavior.

Scaling is not about tuning for peak demos. It’s about repeatability under pressure.

What scaling actually means

Scaling with VPUs means:

This is where general-purpose compute fails and purpose-built silicon holds.

Scaling follows the same principles as migration:

The goal is predictable growth, not firefighting.

Typical reasons teams scale VPUs:

Scaling is driven by constraints, not ambition.

At scale, success looks like:

If scaling increases complexity, something is wrong.

Scaling volume before predictability  Early wins don’t guarantee operational control.

Assuming results generalize automatically  Scale exposes differences, not averages.

Relying on heroics instead of systems  If scale requires exceptions, it isn’t ready.

When scaling is complete, you should have:

At this point, VPUs are now your infrastructure.