Deep Dive
1. Compute Subnet Launch (November 2025)
Overview:
Render introduced a dedicated compute subnet to handle AI/ML workloads like inferencing and edge machine learning, broadening its use beyond traditional 3D rendering.
The subnet leverages decentralized GPU nodes to offer scalable, cost-effective compute power for AI developers. Early trials involved onboarding U.S.-based node operators, with metrics showing 1.49 million frames rendered in July 2025. This shift aligns with Render’s pivot to AI infrastructure, highlighted by partnerships like Lumina Labs.
What this means:
This is bullish for RENDER because it taps into the booming demand for AI compute resources, diversifying revenue streams beyond digital art. Users gain access to cheaper, decentralized GPU power for next-gen AI tools.
(Source)
2. Burn-Mint Model Governance (July 2025)
Overview:
Render’s tokenomics were refined through RNP-018, adjusting the Burn-Mint Equilibrium (BME) to better align emissions with network demand.
The update recalibrates how newly minted RENDER tokens are allocated:
- 45% to node operators (weekly/epoch rewards),
- 30% to grants for artists/developers,
- 25% to foundation operations.
What this means:
This is neutral for RENDER in the short term but strengthens long-term sustainability. By dynamically balancing token burns (from job payments) and minting (for rewards), the model aims to stabilize supply-demand dynamics as AI usage grows.
(Source)
3. Octane VFX Optimization (October 2025)
Overview:
Render released tutorials and code optimizations for Octane VFX workflows, cutting rendering times by up to 40% for complex projects.
Developed in collaboration with VFX expert Andrey Lebrov, the updates streamline job distribution across GPUs and reduce latency in asset transfers. This enhancement targets studios and indie creators working on films, games, and immersive media.
What this means:
This is bullish for RENDER because it improves user retention by solving real pain points in digital production. Faster, cheaper workflows could attract more creators to the network, boosting transaction volume.
(Source)
Conclusion
Render’s codebase evolution underscores its dual focus on AI infrastructure and creator-centric tools. The compute subnet and tokenomics upgrades position it to capitalize on GPU demand from AI, while VFX optimizations reinforce its core user base. Will Render’s hybrid approach to decentralized compute translate into sustained adoption as AI adoption accelerates?