Arbitrum & 
Eigenlayer's DA.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
Deploy to Earn
● Maximize GPU rewards when idle
● Contribute resources to the network
● Generate consistent passive income
● Incentives for high uptime
● Pool resources to improve yields
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.
PRICE COMPARISON CHART
ARCHITECTURE
ROADMAP
CORE TEAM AND BACKERS
MANY MORE+
PARTNERS
