Built for intermittent links
When systems are remote and uplinks are weak, OpenJet lets the operator work with local evidence instead of waiting for remote analysis that may arrive too late.
edge llm
This page is for the edge LLM use case where the problem is physics: narrow links, remote systems, and not enough time to wait for the cloud.
OpenJet is an edge LLM interface for operators who need local judgment near the hardware. When logs cannot be shipped fast enough or links are intermittent, it reads local evidence and supports approved action on the device itself.
benefits
When systems are remote and uplinks are weak, OpenJet lets the operator work with local evidence instead of waiting for remote analysis that may arrive too late.
If you only have a brief chance to inspect state and act, local inference can be the difference between operating in-window and missing it entirely.
OpenJet keeps the model and tool runtime close to the device, which is exactly what many edge LLM deployments need.
use cases
faq
In OpenJet, an edge LLM is a local model and tool runtime running near the device it supports, rather than a remote API receiving delayed telemetry.
Because some edge systems cannot wait for cloud round-trips. If bandwidth is limited or the operating window is short, local inference is the only thing fast enough to matter.
No. Jetson is a strong fit, but the edge LLM workflow also applies to Linux edge systems where local execution is operationally necessary.
next step