Research
Public Intelligence is in the foundation stage. Research focuses on the distributed systems and AI infrastructure needed before production implementation.
Research Domains
Our active investigation tracks mapping the architectural problems of decentralized computing.
Distributed Systems
Research on coordination, reliability, scaling, and the behavior of systems made from independently operated machines.
Investigative Areas
- Distributed scheduling
- Peer-to-peer networks
- Volunteer computing
AI Infrastructure
Research on the systems required to host, serve, and operate frontier open-source AI models across shared infrastructure.
Investigative Areas
- AI infrastructure fundamentals
- Distributed inference
- Resource utilization
Scheduling
Research on assigning workloads to suitable nodes based on capability, health, latency, load, and network conditions.
Investigative Areas
- Kubernetes Scheduler
- Ray
- Load balancing
Node Communication
Research on how nodes advertise resources, report health, send heartbeats, receive assignments, and return results.
Investigative Areas
- Resource advertisement
- Heartbeat design
- Health checks
Geographic Scheduling
Research on location-aware scheduling decisions that account for latency, proximity, regional capacity, and reliability.
Investigative Areas
- Latency
- Geographic proximity
- Regional availability
System Inspirations
Research into existing projects and patterns that inform the architecture without defining it.
Investigative Areas
- Petals
- Kubernetes
- Linux