The ASI Alliance provides the foundational architecture for decentralized AGI systems. Through a composable stack of interoperable technologies, developers, researchers, and enterprises can build intelligent, multi-agent applications with native support for data, compute, governance, and orchestration—and build and deploy dynamic AI workflows seamlessly.
Infrastructure & Network Tools
ASI:Cloud
Distributed compute fabric combining cloud, edge, and intercloud resources. Powers large-scale model training, real-time inference, and autonomous agent execution.
- High-performance GPUs, CPUs, and edge hardware
- Incentivized compute providers across geographies
- On-demand scalability and redundancy
ASI:Chain
Agent-native infrastructure stack, designed for autonomous coordination and smart contract execution. Optimized for low-latency, privacy-preserving multi-agent environments.
- Features scalable ledgers, consensus, and privacy (TEE) layers
- Smart contract framework for AI-to-AI negotiation and orchestration
- Built-in support for multi-agent fault tolerance and logic
AI Algorithms & Models
ASI Learn
Agentic learning stack encompassing AI-AI learning and cognitive self-orchestration layer. Knowledge graphs combined with LLMs and other ASI Train models to deliver intent-based general and industry-specific solutions.
ASI Train
ASI Train enables decentralized model training across distributed datasets without compromising data privacy. It supports both general-purpose and domain-specific models, forming the foundation for next-generation AI solutions within the ASI ecosystem. By empowering federated learning across open and permissioned networks, ASI Train ensures scalable, community-driven model innovation while preserving ownership and confidentiality.
Deployment & Ecosystem
ASI Create
The launchpad for developers, enabling them to build, fund, and deploy AI agents and applications.
- Token-gated or permissionless deployment environments
- Supports agent registries, discovery, and monetization
- Integration with wallets, identity, and governance layers