Architecture
The technical model and system boundaries for distributed AI infrastructure.
Overall System Topology
High-level view of the three-plane architecture: the website portal for user onboarding, the scheduler core as the control plane, and the contributed node network as the execution plane.
Request Flow
End-to-end request lifecycle from client submission through scheduler routing to node execution. The active path shows successful routing with direct result return bypassing the scheduler for verification.
Geographic Scheduling
Latency-based node selection across global regions. The scheduler evaluates candidate nodes and routes to the minimum-latency target (EU-West at 12ms in this example).
Distributed Inference
Model layer partitioning across multiple compute shards for large-scale inference. Each shard processes a contiguous layer range with pipelined tensor passing.
Future Platform Stack
Four-layer architecture vision: application APIs, orchestration coordination, decentralized transport, and local hardware runtime. The coordination layer is the active development focus.