Off Grid Labs builds off-grid AI nodes you own outright — open weights, private data, and infrastructure you control. Intelligence should be inspectable, adaptable, and available wherever the work is.
Off-grid AI matters because the most valuable systems in your business should not depend on a rented model endpoint or a fragile centralized stack.
Open-weight models let startups, universities, public institutions, and businesses inspect, adapt, and run capable AI on the infrastructure that fits their work.
So build an open ecosystem: let intelligence diffuse, let people test it, and put it on infrastructure they control. Own the model, own the node, own the upside.
An off-grid AI node you own outright, built for open-weight models. It runs inference and training on dedicated infrastructure under your control — on your site, for your workloads, ready for the model that fits the job.
Accelerated compute you buy once and run forever. Capex you control — not a cloud bill that compounds every month you keep the lights on.
Run open-weight models, inference, RAG, and fine-tuning on the box. Your data and the capabilities you build stay under your control.
Off-grid infrastructure keeps the node running through grid and internet outages. Private capacity, resilient operations, no cloud landlord. MicrogridModeler.com makes the hourly energy balance, lifecycle cost, and outage assumptions visible before hardware reaches the field.
The point is operational sovereignty. Off-grid compute rides through outages and dependency failures alike — no cloud landlord, no rented intelligence.
Set the workload, the deployment profile, and how long it has to run in the dark. We size the compute, storage, and supporting infrastructure for the node you'll own outright.
Every tier is yours outright. Open the configurator to size one to your workload and deployment needs.
One always-warm model plus a private RAG stack for a team — owned, not rented.
Several models, scheduled fine-tuning, and heavier agents — all on your hardware.
Site-wide capacity you own, engineered to your footprint and uptime requirements.
We didn't model this on a whiteboard. We built it, hauled it onto a ridge in Wisconsin's Driftless region, and ran it through real winters and real outages. DRIFTLESS-01 is online right now — fiber-connected, resilient, and proving out the exact hardware we build for you to own.
We're assembling the people who'd rather help you own your AI than rent it back to you — engineers, installers, and operators who build for resilience instead of dependency.
Notes from building an open AI ecosystem. Read the latest field note, then leave your email for the next.
TOOLS FROM THE FIELD
MicrogridModeler.com is live: 8,760-hour sizing, dispatch, economics, and failure analysis for remote power—running in the browser.
READ THE FIELD NOTE →Why we agree with NVIDIA's case for open-weight AI — and why ownership, competition, and inspectability are now our operating worldview.
READ THE POINT OF VIEW →Per-seat fees and token meters quietly turn an AI pilot into a seven-figure line item. Here's how owning your AI flips OpEx to CapEx.
READ THE DISPATCH →Why renting your intelligence from the cloud is the wrong model — and what owning your AI on your own infrastructure looks like.
READ THE DISPATCH →Off-grid AI compute you own. Open models on infrastructure you control — not a cloud landlord.