Distributed Computing
Scalable Processing
Load balancing, task distribution, and fault tolerance — distribute compute workloads across all neurons for scalable processing.
Compute Scheduling
Load Balancing Strategies
Round-robin, least-loaded, and weighted load balancing to distribute tasks optimally across available neurons based on capacity and current load.
Task Types
Support for multiple task types — query processing, embedding generation, RAG retrieval, and learning operations — each routed to the most appropriate neurons.
Task Lifecycle
Track tasks through pending, running, completed, and failed states with automatic retry and escalation for failed operations.
Worker Pools
Efficient worker pool processing with parallel execution and resource optimization for high-throughput task processing.
Fault Tolerance
Circuit Breakers
Prevent cascading failures by automatically stopping requests to failing neurons and redirecting to healthy nodes.
Replica Management
Active-active and active-passive replication strategies with synchronous and asynchronous modes for data redundancy.
Health Monitoring
Periodic health checks on all neurons with failure tracking and automatic recovery coordination.
Automatic Recovery
System automatically recovers failed neurons with circuit breaker closure and node reintegration when healthy.