Cluster x Rynus: Bringing Scalable Compute and Labeled Data to Decentralized AI
Aug 4, 2025
3 min Read
In the rapidly evolving world of Artificial Intelligence, access to reliable, high-performance compute and high-quality datasets remains a critical bottleneck and these challenges are amplified in the decentralized AI space, where transparency, accessibility, and scalability are foundational.
Today, we are pleased to announce a strategic partnership between Cluster Protocol and Rynus, aimed at strengthening the foundation of decentralized AI infrastructure. This collaboration brings scalable GPU compute and verifiable labeled data into the Cluster ecosystem, setting a new standard for deAI.
Bridging AI Compute and Data Gaps
Artificial Intelligence is redefining industries, but its scalability is increasingly constrained by:
- Rising GPU compute costs.
- Centralized infrastructure and cloud vendor lock-in.
- Lack of transparent, high-quality training datasets.
The Cluster x Rynus partnership addresses these key pain points with decentralized alternatives:
- Decentralized GPU compute via the Rynus network.
- Enterprise-grade reliability through partners like iRender
- On-chain data labeling to ensure data verifiability, traceability, and decentralization.
Core Synergies
1. Decentralized GPU Compute via Rynus
Cluster Protocol is integrating Rynus's decentralized GPU network, allowing:
- Global access to underutilized GPU compute nodes.
- Cost-effective task execution for AI and 3D rendering.
Key Benefits: AI developers building on Cluster can now execute training, fine-tuning, and inference tasks directly through an affordable, censorship-resistant compute layer.
2. Verifiable Labeled Data via Rynus
Rynus's decentralized data labeling framework can be integrated into Cluster's AI data marketplace, enabling:
- Access to labeled datasets for AI training and RLHF.
- Transparent provenance via smart contracts.
- Verified human-in-the-loop annotations for improved AI model quality.
Key Benefits: Cluster becomes a gateway for accessing structured, high-quality training data in a fully decentralized, permissionless environment.
About Rynus
Rynus is the first DePIN-RWA spin-off on Solana, building a decentralized GPU cloud backed by real, enterprise-grade hardware. It enables the monetization of physical GPUs across the globe by tokenizing compute into Virtual GPUs (vGPUs), digital assets that yield passive income from real workloads such as AI, rendering, and general-purpose compute.
Each vGPU is tied to data center-grade NVIDIA RTX 4090 hardware, powering a network that has already processed over 1.1M+ jobs, labeled 15M+ data samples, and served Web2 giants like Samsung, Lionsgate, and Hivelab. Backed by the founding team of iRender, the world's top ranked render farm, Rynus recently won the Solana Hackathon 2024 by Superteam Vietnam and is scaling aggressively across the Solana ecosystem.
With estimated APR of up to 100%, no hardware required, and zero setup overhead, vGPUs offer a new way for anyone to participate in the decentralized compute economy.
🌐 Rynus' Official Links:
About Cluster Protocol
Cluster Protocol is making intelligence co-ordinated, co-owned & trustless.
Our infrastructure is built on two synergistic pillars that define the future of decentralized AI:
Orchestration Infrastructure: A permissionless, decentralized environment where hosting is distributed, data remains self-sovereign, and execution is trust-minimized. This layer ensures that AI workloads are not only scalable and composable but also free from centralized control.
Tooling Infrastructure: A suite of accessible, intuitive tools designed to empower both developers and non-developers. Whether building AI applications, decentralized AI dApps, or autonomous agents, users can seamlessly engage with the protocol, lowering barriers to entry while maintaining robust functionality.
🌐 Cluster Protocol's Official Links: