Premsys Goes Where Cloud Can't- Bringing LLM's to Industrial Operations
Industrial environments have always resisted the cloud, and for good reasons. Operational technology networks are segmented by design, remote sites often have unreliable connectivity, and the data flowing through a plant includes proprietary process knowledge that represents decades of competitive advantage. So when AI vendors show up with products that require a persistent connection to an external API, the conversation usually ends at the network diagram. The IT team is not going to punch a hole through the OT boundary so a chatbot can phone home.
Can an LLM run fully air-gapped, with no internet connection?
Yes. A modern open-weight language model, paired with a retrieval pipeline over the operator's own documentation, runs entirely on local hardware with zero external dependencies. Once deployed, the system needs no internet connection at all: no license pings, no telemetry, no model updates unless the operator schedules them. Maintenance manuals, P&IDs, safety procedures, equipment histories, and shift logs become searchable in plain language, on the plant floor, inside the same security boundary that protects everything else. A technician troubleshooting a compressor at 2AM can ask the system what the manual says instead of digging through a binder or waiting for the day shift.
What hardware does air-gapped AI require?
Less than most operators expect. Efficient mixture-of-experts models activate only a few billion parameters per token, so a single rackmount server with NVIDIA Blackwell-class GPUs (Premsys is a NVIDIA Inception Program member) can serve a full site's worth of concurrent users. At the other end of the scale, compact wearable edge modules bring the same capability to remote or mobile settings in a package that draws under 25 watts. Because the workload is inference over a fixed document corpus rather than model training, the systems are stable, predictable, and maintainable by the same staff that runs the rest of the site's infrastructure.
How do updates and support work without connectivity?
On the operator's terms. Document corpora are re-indexed on a schedule the site controls, model updates arrive as versioned artifacts installed during planned maintenance windows, and support access, where permitted at all, runs through the operator's own remote access controls rather than a vendor backdoor. Premsys builds these deployments end to end and customized for your industry: hardware selection sized to the site, model and inference stack configuration, and RAG pipelines over the operator's verified documentation. Everything ships as a self-contained system that lives inside your security perimeter and answers only from sources you chose to load.
Running a site where cloud AI was never an option? Premsys builds fully air-gapped AI systems that live inside your security perimeter and answer from your documentation. Reach out at premsys.ai/contact to scope a deployment.