Remote execution
for the workloads that matter now.
ArkNet is a remote execution runtime layer for coding agents, model workloads, and provider-addressable compute. Route work to the right machine across NVIDIA, AMD, and Metal.
Coding agents
Route builds, tests, evals, and task execution onto the machine that fits the work instead of the machine the agent started on.
Model workloads
Run training, evals, and inference across NVIDIA, AMD, and Metal through one addressable runtime path.
Portable execution
Turn heterogeneous machines into one execution surface for teams, labs, and infrastructure operators.
What ArkNet is
ArkNet is the layer between software that wants to execute and the machine that should execute it.
Remote execution runtime
ArkNet separates where software decides from where execution actually happens.
Heterogeneous by design
Target NVIDIA, AMD, and Metal across Linux, Windows, and macOS through one routable surface.
Provider-aware routing
Route by address, region, latency, reliability, VRAM, and pricing with deterministic preference order.
Current use cases
ArkNet is not the use case. It is the execution layer underneath the use cases already emerging.
Agent execution
Use ArkNet as the runtime path for coding agents that need to do real work on real machines.
Training and inference
Dispatch training loops, eval jobs, and inference workloads to the backend and hardware that fit the task.
Provider networks
Expose machines as routable execution capacity with live metrics, reliability, and pricing.
Turn machines into runtime capacity.
Publish a provider, expose metrics and pricing, and become part of a routable execution surface that users can address directly from their projects.