OpenJetGitHub repo

edge llm

Edge LLM for remote systems and short operating windows

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

Why local wins

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.

Useful inside short windows

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.

Runs at the point of operation

OpenJet keeps the model and tool runtime close to the device, which is exactly what many edge LLM deployments need.

use cases

Common deployment paths

faq

Edge LLM FAQ

What is an edge LLM in OpenJet?

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.

Why use an edge LLM instead of a cloud agent?

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.

Does OpenJet only work on Jetson?

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

See how OpenJet runs local models on constrained hardware.