Distributed Operating System
DOSFI is the distributed operating system for inference — providing the OS primitives of scheduling, routing, storage, and execution across a global device mesh rather than inside a single data center.
A traditional operating system manages CPU scheduling, memory, storage, and I/O on a single machine. DOSFI does the same — but across billions of devices simultaneously. The result is a distributed intelligence OS that can execute AI workloads at a scale no centralized data center can match.
Distributed Scheduler
The closed-source scheduler partitions massive workloads into independently executable shards and assigns them to the most capable nodes in real time.
Distributed Routing OS
The routing engine determines the optimal path for every shard across the mesh, minimizing latency while honoring privacy tiers and trust boundaries.
Distributed Execution Fabric
Every shard is executed in isolation on a verified node, cryptographically attested, and reassembled into a single verified output.
Distributed Compute OS
DOSFI treats every idle device as a first-class compute node — delivering higher throughput, lower cost, and better resilience than any single data center.
DOSFI is the first distributed operating system for inference — designed from the ground up to orchestrate AI workloads across ambient device compute rather than centralized servers. It combines a distributed scheduler, distributed routing engine, distributed storage layer, and distributed execution fabric into a single cohesive OS.
Unlike cloud platforms that route everything through a central point, DOSFI's distributed compute OS brings compute to the data — scheduling workloads on the nearest, most ready devices and enforcing mesh-native privacy tiers at every step.