CO-ORDINATION LAYER

FOR AI AGENTS

Powered by Ethereum & Eigenlayer's DA.

Key Offering

FEATURES

Decentralized Dataset

● Access extensive datasets
● Host and control private, proprietary data
● Maintain personal Data Vaults
● Integrate with training workflows
● Annotate data and evaluate models

Train Models

● Enhance model robustness via collaborative training
● Support secure, privacy-preserving techniques
● Track model lineage across versions
● Integrate with Decentralised Dataset
● Maintain transparency via Proof-of-Compute

Rent GPU Infra

● Access global network of consumer & enterprise GPUs
● Optimized for AI model building
● Handles diverse computational workloads
● Developer APIs for programmatic control
● Annotate data and evaluate models

AI Agents Template Library

● Access ready-made AI agents for quick deployment.
● Modify templates to suit your specific needs.
● Seamlessly integrate agents into your workflows in seconds.
● Share, collaborate, and evolve agents with the global community.

PROBLEMS AND SOLUTIONS

Limited GPU Accessibility

High-performance GPUs are expensive assets beyond the reach of many developers, hampering AI innovation.

Democratized GPU Access

We enable anyone to leverage GPUs on-demand for all their compute needs, opening up AI capabilities.

Scarce Training Data

Quality datasets required for robust model training remain siloed, making access a challenge.

Decentralized Data Sharing

Our platform unlocks dataset sharing in a secure, governed way to advance collective knowledge.

Monetization Hurdles

Developers lack straightforward ways to deploy models and generate revenue from their AI work.

Seamless Model Monetization

We empower developers to easily deploy models, integrate with apps, and earn rewards for their creations.

ARCHITECTURE

ROADMAP

Roadmap DesktopRoadmap Desktop
Pivot VenturesMapleblock CapitalMaven CapitalFusionFairum Ventures

AND MANY MORE

PARTNERS AND CLIENTS

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+400 MORE

FAQS

What is Cluster Protocol?

Can I monetize the models I create and train using Cluster?

Will Cluster Protocol support training models with private, sensitive datasets?

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