offline llm
Offline LLM for air-gapped and sovereign environments
Keep inference available when the network is unavailable, restricted, or inappropriate for the data being handled.
OpenJet helps you run an offline LLM with a terminal-native interface, guarded tools, and hardware-aware inference. It is built for environments where prompts, files, logs, and system metadata should not leave the device.
Why local wins
- Runs without network access. Once the runtime and models are installed, OpenJet can operate fully offline on the device.
- Better fit for data sovereignty. Prompts, logs, and system metadata stay local instead of being exported to a hosted AI service, which is important for sovereignty-sensitive environments.
- Practical for air-gapped ops. OpenJet still gives operators a usable interface for local logs, commands, and procedures even when the network is unavailable by policy or by design.
- Embeddable, not just interactive. The same offline runtime is exposed as a Python SDK, so an on-device model can sit inside your own tooling instead of only behind a terminal a human has to drive.
Common deployment paths
- Run an offline LLM in air-gapped environments with no outbound access.
- Keep operational context local for regulated, sovereign, or privacy-sensitive systems.
- Use local AI in environments where cloud log export would be a policy or compliance problem.
- Embed an offline model directly in an internal application with the Python SDK.
Frequently asked questions
- Can OpenJet run as a fully offline LLM?
- Yes. Once the runtime and model assets are installed, OpenJet can operate without a network connection.
- Why use an offline LLM instead of a hosted API?
- An offline LLM is a better fit when network access is unavailable, restricted, or inappropriate for the data being handled.
- Does offline just mean private?
- No. Offline also matters for availability, reliability, sovereignty, and keeping operations working when cloud access is impossible.
Explore OpenJet
Embed a local model with the Python SDK, run Qwen3.8-27B as a local coding agent, compare local coding-agent alternatives, read the docs, or go back to the homepage.