As demand for AI and compute-intensive workloads continues to grow, distributed infrastructure must scale alongside it. The Render Network Foundation launched and then expanded Dispersed—initially called the Render Compute Network—upon approval of the RNP-019 and RNP-021 governance proposals.
Dispersed is now expanding node onboarding globally, opening participation to qualified GPU operators outside the United States and Canada for the first time.
Additionally, Windows OS is now supported alongside Linux, expanding the diversity of nodes on the network. If you've got a GPU that qualifies under the specs requirements, apply here.
The expansion significantly increases the potential geographic reach and compute capacity of the network as usage accelerates across AI and general compute workloads.
Distributed compute infrastructure benefits from broad geographic participation. A globally distributed network is important in order to:
As AI workloads become increasingly real time and globally distributed themselves, infrastructure must adapt to support that scale.
The month of March 2026 saw Dispersed usage grow 3x week over week as developers increasingly explored distributed infrastructure for, inference, AI agents, analytics, and other compute-heavy workflows.
At RenderCon 2026 in April, builders demonstrated applications spanning scientific analysis, orbital intelligence, AI memory systems, and generative art, all powered in part by distributed GPU infrastructure.
The expansion of node onboarding is intended to help support growing compute demand while increasing participation across the network.
Qualified node operators currently receive weekly rewards in addition to earnings from completed compute jobs. Learn more about what that looks like from RNP-021, the latest governance proposal approved related to Dispersed.
The incentive model is designed to reward both:
As network activity grows, expanding the operator base helps increase available execution capacity across the system.
Distributed infrastructure becomes more valuable as participation expands.
Opening onboarding globally increases opportunities for GPU owners around the world to contribute compute resources to emerging AI and general-purpose workloads while participating in a broader decentralized compute ecosystem.
Qualified operators interested in joining the network can apply through the Dispersed onboarding waitlist.
