NETWORK ACTIVE latency: --ms

sim-ai.net

The network infrastructure layer for simulation-driven AI. Distributed nodes, data pipelines, and protocol handshakes powering artificial worlds.

NETWORK / INFRASTRUCTURE
TOPOLOGY

Distributed Simulation Mesh

Every simulation instance is a node. Every data exchange is a connection. The sim-ai network organizes thousands of parallel simulation environments into a coherent mesh topology -- load-balanced, fault-tolerant, and self-healing. Nodes discover peers through gossip protocols and negotiate resource sharing without central coordination.

0 Active Nodes
0 Connections
0 Msgs/sec
PROTOCOL

Handshake & Sync

Simulation state synchronization across distributed nodes requires precise timing and efficient serialization. The sim-ai protocol handles clock drift compensation, state snapshot deltas, and conflict resolution for concurrent world modifications. Sub-millisecond consistency across continental distances.

// node handshake sequence SYN → peer.discover(subnet) ACK ← peer.acknowledge(capabilities) SYNC → state.delta(snapshot_id) LIVE ↔ stream.bidirectional()
DATA PIPELINE

From Simulation to Signal

Raw simulation output is transformed through a multi-stage pipeline: capture, compress, route, aggregate, index. Each stage is a microservice in the mesh, horizontally scalable and independently deployable. The pipeline processes terabytes of synthetic experience data per hour, distilling it into training-ready signal.

mesh: healthy
sync: 99.7%
pipeline: active