Autonomous edge-computing mesh for real-time neural inference in remote clusters.
CoreMLScyllaDBWasm
Client Requirements
Sub-10ms inference latency at the network edge.
Decentralized model weights synchronization across 5,000+ nodes.
Zero-trust execution environment using WebAssembly (Wasm).
Strategic Planning
Aether Mesh was architected to bypass centralized cloud bottlenecks. We implemented a gossip-protocol based model distribution system that allows nodes to synchronize neural weights horizontally, ensuring high availability in low-connectivity environments.
Solution Implementation
Wasm-based secure execution runtime.
Distributed ScyllaDB cluster for localized state management.
Custom P2P networking layer for mesh synchronization.
