Three-layer platform unifying IoT devices, edge nodes, and cloud infrastructure—reducing compute costs by 50%.
Complete solution for distributed AI workloads
High-performance language with Python syntax
Zero-trust P2P runtime for distributed execution
Visual pipeline framework for distributed apps
P2P engine for distributed task execution
Weighted graph with minimum spanning tree
Token-authenticated with encryption
Synchronized state across cluster
Intelligent compute allocation
Intelligent workload placement
Just-in-time code delivery
Visual designer for distributed applications
Processing units with multiple I/O pins
Flexible pipeline connectivity
Ready-to-use components
Drag-drop pipeline designer
Integrated model training
Transformer-centric compute for agents and training
Multi-agent applications with perception and planning
Distributed model execution across devices
Cluster-scale model training capabilities
Get started with CantorAI and cut compute costs by 50%