01 AgentLed infrastructure / first node
BACKBONE
Backbone is AgentLed's private AI inference infrastructure, assembled from hardware you already own. No rack. No cloud.
One laptop runs out of memory. Backbone starts looking for capacity already in the building.
02 Scavenge
Anything with
RAM gets a job.
Backbone discovers three retired phones, two mini PCs, and a dusty router. Idle devices stop being stranded assets and start behaving like one private machine.
Five heartbeats answer. Existing capacity becomes useful capacity.
03 Unified
The quiet
machines wake.
Backbone folds Apple silicon into a low-power memory bank: a Mac mini under the TV, a Studio from the office, and another laptop with 3% battery and 64 gigabytes to spare.
176 GB of unified memory. Model weights and data stay inside the building.
04 Accelerate
Then the fans
start turning.
CUDA towers take the hot path. Backbone combines their tensor cores with the fleet's pooled memory instead of renting another cloud GPU by the hour.
Inference runs on hardware already owned and already paid for.
05 Turbulence
The network
has other plans.
Wi-Fi stalls. A phone thermal-throttles. Someone starts streaming a movie. Backbone measures the damage, preserves the chain, and routes around real life.
Self-healing infrastructure keeps serving while individual nodes disappear and rejoin.
06 Shard
One model.
Eleven places.
Backbone splits thirty-two transformer layers into contiguous shards and places each one by memory and capability. An overloaded pair ejects two layers; neighboring machines catch them.
The model stops being a file. It becomes a route through the fleet.
07 First light
It answers.
The live Backbone prototype pools 270 GB across 11 heterogeneous nodes and sustains 22.7 tokens per second. Models and data never leave the local network.
Are you there?