Shared compute
A direction for using trusted machines together when a model needs more than one Mac offers.
In development. Active product work that must not be presented as shipped.
Why it is on the list
Some capable models do not fit on the Mac where a project starts. The direction is to let you use trusted machines you choose while the project, approvals and model boundaries stay understandable.
That is about moving inference capacity, not uploading projects to an undisclosed cloud. Trust, privacy, network and cost choices must be explicit before a machine takes part.
Not shipped
Shared compute is in development. Today a model runs on your Mac or at the provider you chose, and nothing routes a model across machines on its own.
A working version needs authenticated workers, policy checks, cancellation, recovery and a truthful account of where prompts and weights travel.
With consent
Until it is built, choose a local model or a provider deliberately and treat remote capacity as a separate decision.