Why RNP-019 Matters: A Pivotal Expansion for Render Network Into General and AI Compute
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The Render Network has long been a cornerstone for decentralized GPU rendering, empowering creators to produce stunning 3D visuals through a distributed network of node operators. Beyond rendering, the explosive growth of AI workloads, machine learning, and general compute tasks has created an urgent demand for scalable, flexible infrastructure. This is where RNP-019 comes in.
Until now, token emissions on Render Network have been focused on rewarding GPU rendering for 3D projects. While that foundation remains vital, the rise of AI-driven industries — from generative models to real-time data processing — presents a substantial new opportunity. RNP-019 lays the groundwork to onboard node operators who can power these diverse workloads via a new Render Compute Network, expanding Render’s mission to meet the needs of a broader digital ecosystem.
This strategic move aims to position Render as a leader in the next wave of decentralized computing, ensuring the network is able to meet the needs of a growing ecosystem.
Node Operator Requirements: Setting the Stage
Participation in this new general and AI compute network is on an opt-in basis and does not preclude node operators from continuing to exclusively or concurrently provide 3D rendering compute resources.
Nodes must meet all criteria for selection and emissions eligibility:
- Deploy GPUs from the approved list outlined in RNP-019.
- Onboard via the waitlist, providing a Solana wallet for RENDER deposits.
- Be live in the Render Foundation cohort.
- Sustain bandwidth ≥100 Mbps down, ≥75 Mbps up.
- Achieve minimum epoch uptime per launch partner requirements.
- Register a wallet pre-reward accrual (prior work ineligible).
These requirements reflect the unique demands of AI and compute workloads, which often prioritize raw computational power and stability over the graphical precision of rendering.
How Jobs Are Assigned: A Balanced Approach
The allocation of jobs under RNP-019 is designed to be fair and efficient:
- GPU Matching: Based on customer-specified GPU types.
- Rotational Logic: Underutilized nodes get priority.
- Epoch-Based Rankings: Rankings at the end of each epoch determine the starting order for the next cycle.
This system aims to reward participation while keeping the network responsive to real-time demands.
Voting Details: Your Voice Counts
The community gets to weigh in on this milestone:
Initial Vote: April 3–6, 2025
- Simple majority, no quorum required
- Cast your vote using $RENDER on Nation: https://nation.io/a/RenderNetwork/proposal/37c5a857-07fe-496e-b2f5-019fbd10bba3
Final Vote: Open for 6 days
- Requires 50%+ approval and a 15% quorum
TL;DR on RNP-019: The Big Picture
RNP-019 introduces dedicated GPU nodes optimized for AI and general compute tasks, distinct from the traditional 3D rendering nodes due to their specialized hardware and software needs. This is just the first phase of a long-term vision to scale the network as demand for these workloads grows. Rewards will include:
- Availability Rewards: For maintaining uptime and readiness.
- Job-Based Rewards: Tied to performance, hardware specs, and time worked.
To keep things balanced, AI and compute node operators will draw from a separate emissions pool, ensuring rendering nodes aren’t impacted. Want to dive deeper? Join the RNP-019 community discussion on Discord: https://discord.gg/eXpaAApG (#rnp-019 channel).
