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The Render Community has lengthy been a cornerstone for decentralized GPU rendering, empowering creators to supply beautiful 3D visuals by a distributed community of node operators. Past rendering, the explosive progress of AI workloads, machine studying, and basic compute duties has created an pressing demand for scalable, versatile infrastructure. That is the place RNP-019 is available in.
Till now, token emissions on Render Community have been targeted on rewarding GPU rendering for 3D tasks. Whereas that basis stays very important, the rise of AI-driven industries — from generative fashions to real-time knowledge processing — presents a considerable new alternative. RNP-019 lays the groundwork to onboard node operators who can energy these numerous workloads through a brand new Render Compute Community, increasing Render’s mission to fulfill the wants of a broader digital ecosystem.
This strategic transfer goals to place Render as a frontrunner within the subsequent wave of decentralized computing, guaranteeing the community is ready to meet the wants of a rising ecosystem.
Participation on this new basic and AI compute community is on an opt-in foundation and doesn’t preclude node operators from persevering with to solely or concurrently present 3D rendering compute assets.
Nodes should meet all standards for choice and emissions eligibility:
- Deploy GPUs from the authorised record outlined in RNP-019.
- Onboard through the waitlist, offering a Solana pockets for RENDER deposits.
- Be reside within the Render Basis cohort.
- Maintain bandwidth ≥100 Mbps down, ≥75 Mbps up.
- Obtain minimal epoch uptime per launch companion necessities.
- Register a pockets pre-reward accrual (prior work ineligible).
These necessities mirror the distinctive calls for of AI and compute workloads, which frequently prioritize uncooked computational energy and stability over the graphical precision of rendering.
The allocation of jobs beneath RNP-019 is designed to be honest and environment friendly:
- GPU Matching: Primarily based on customer-specified GPU varieties.
- Rotational Logic: Underutilized nodes get precedence.
- Epoch-Primarily based Rankings: Rankings on the finish of every epoch decide the beginning order for the following cycle.
This technique goals to reward participation whereas protecting the community aware of real-time calls for.
The neighborhood will get to weigh in on this milestone:
Preliminary Vote: April 3–6, 2025
Closing Vote: Open for six days
- Requires 50%+ approval and a 15% quorum
RNP-019 introduces devoted GPU nodes optimized for AI and basic compute duties, distinct from the normal 3D rendering nodes resulting from their specialised {hardware} and software program wants. That is simply the primary section of a long-term imaginative and prescient to scale the community as demand for these workloads grows. Rewards will embrace:
- Availability Rewards: For sustaining uptime and readiness.
- Job-Primarily based Rewards: Tied to efficiency, {hardware} specs, and time labored.
To maintain issues balanced, AI and compute node operators will draw from a separate emissions pool, guaranteeing rendering nodes aren’t impacted. Wish to dive deeper? Be a part of the RNP-019 neighborhood dialogue on Discord: https://discord.gg/eXpaAApG (#rnp-019 channel).
