One job model
Submit work through the console or API, then collect status, logs, and artifacts.
Distributed compute, two ways
Connect computers you trust, or access complete machines from the open network.
Turn a classroom, lab, studio, office, or collection of personal computers into a private pool. PlanetNodes sends separate tasks to the right machines and gathers their results.
It does not combine their RAM into one larger computer. The workload must be divisible into independent jobs.
See private clustersSelect a provider computer by hardware, region, reliability, and price. The complete job runs there; your local machine sends inputs and receives outputs.
Your laptop remains a 16 GB machine. The task runs on the rented 32 GB computer; this is remote execution, not borrowed RAM.
Browse live capacityOne platform
Use machines whose owners and environment you know.
Match each task to a capable, available machine.
Use public providers only when policy and workload allow it.
Submit work through the console or API, then collect status, logs, and artifacts.
Route each independent task to a machine with the CPU, GPU, memory, and availability it needs.
Set time, cost, concurrency, and machine boundaries before a workload starts.
Connect macOS, Windows, and Linux computers without turning PlanetNodes into a remote desktop.