
Jetson Thor
- Perf
- up to 2,070 TOPS
- Power
- 40 to 130 W
- Size
- 100 mm x 87 mm
Robotics, autonomous machines, full-stack agentic edge
AirfyOS runs across the entire Nvidia Jetson family, from the 0.5-TFLOPS Nano to the 2,070-TOPS Thor, plus Blackwell-class servers. One operating system. Same APIs at home, same APIs in the rack. Manage every board by voice from the Airfy app on your phone.

The Nvidia Jetson family ranges from a 5-watt Nano to a 130-watt Thor. AirfyOS abstracts the silicon so your apps, voice agents, and operator console look the same on every board.
The same operating system on all 8 Nvidia Jetson modules, from the 0.5-TFLOPS Nano to the 2,070-TOPS Thor. Same APIs, same management surface, same upgrade path.
Every Jetson board you provision appears in the Airfy app on your phone. Reboot, redeploy, look at sensors, ship a new container. No SSH-into-the-box rituals.
AirfyOS is written in Texas. FCC-aligned, TAA-aligned. Every board signs a device token at boot. The board is Nvidia, the operating system is yours, the supply chain is auditable.
Provision, manage, and ship updates to every Nvidia Jetson module from the same Airfy console. Same image, same APIs, same fleet view.

Robotics, autonomous machines, full-stack agentic edge

Industrial AI, multi-camera vision, edge inference servers

Compact AI, retail kiosks, drones, smart cameras

Entry edge AI, low-power inference, developer kits

Long-cycle industrial deployments, certified fleets

Compact industrial AI, established Xavier ecosystem

Long-life embedded SKUs already in field service

Tinkerers, classrooms, lightweight edge sensors
Plus Blackwell-class 2U servers and RTX PRO 6000 GPUs for the AI controller layer. One platform, one operating system, top to bottom.
The Airfy mobile app lists every AirfyOS device in your fleet, from the Nano on the desk to the Thor in the rack. Add a board, ship a container, hand control to a teammate, or pull a stack trace. Voice works too, ask the system what changed in the last hour.

The Jetson is not a thin client. It is where the reasoning happens. Cameras, sensors, microphones, PLCs feed the board. The local agent reads the data, decides what matters, and ships only the meaningful signal to the cloud. Your bandwidth bill drops. Your decision latency drops. Your raw data never leaves the building.
Cameras, mics, PLCs, OPC-UA streams, Modbus, CAN bus. Whatever protocol your line speaks, the Jetson terminates it on-prem.
AirfyOS runs the inference loop on the Jetson itself. Vision, voice, anomaly detection, quality grading. All on the board, in milliseconds.
Not 4K video streams. Not 200,000 sensor pings per second. An event, a verdict, a thumbnail. Bandwidth drops by orders of magnitude.
Airfy console shows every Jetson, every site, every event. Audit trail, rollback, retraining, governance. Cloud is the operator surface, not the brain.

Network and uplink become radio modules. The reasoning is the product.
Vision QA on every part. Anomaly detection on every motor. No 4K video ever leaves the line. Only the verdict and a thumbnail.
Footfall, shrink, voice queries at the counter. The Jetson runs the model locally so the answer comes back before the customer asks again.
Starlink and WLAN are radio modules. The Jetson keeps reasoning even when the link drops. Buffer the events, sync when uplink returns.
Every modern AI platform wants your fleet in their cloud. We put it in yours: your Jetsons, your AirfyOS image, your control plane, hosted by you or your local AI partner. Self-hosted. Partner-owned. Not rented from someone else's stack.
The AI five-layer stack: Applications, Models, Infrastructure, Chips, Energy. Airfy plays at App and Infra. Your Jetson is the Infrastructure tier you own, not rent.

Same Jetson. Same workload. The control plane is the difference.
Nvidia ships JetPack as the base SDK. AirfyOS sits on top, so the operator surface, identity layer, voice control, and AI agent stack work the same on every module without per-board glue.
Built and maintained by Steffen Siewert and Mona Siewert, with the Airfy team in Austin.
AirfyOS builds against the Jetson Linux base and exposes the same API surface on the Nano, the Orin Nano, the Orin NX, the AGX Orin, the Thor, and the long-life Xavier and TX2 SKUs.
AirfyOS is Made in USA and open source where it matters. You can build it, audit it, pin a commit, and ship to a fleet without a vendor portal between you and your hardware.
Every AirfyOS device shows up in the Airfy app on iOS and Android. Provisioning, voice, telemetry, and rollback are one tap, not a JetPack rebuild.
Voice your question. Chat your idea. Query your knowledge. Every answer runs on the GPU you own, not on a vendor's cloud. The five Airfy AI products turn your operator network into a nervous system you can speak to.

Stop being training fodder for someone else's model. When you use Slack, your conversations train somebody else. When you use Airfy Chat on your own GPU, they do not.
See the AI PlatformAirfy products are sold through partners who handle the install, the trust, and the local ownership. Operator-scale buyers can still talk to us directly.
Subscribers get the Home App and the operator runs Compass on the AI-Network Controller. Same product, your provider's name on the bill.
MSPs and AI consultancies install the network, set up the AI products on your GPU, and run the AI App Store with you. Local trust, Airfy stack.
For ISPs, sovereign customers, or enterprise rollouts above 100 sites: talk to us directly. We connect you with the right partner for the install if you prefer.
Pilot AirfyOS on a single Jetson Orin Nano in two weeks. Scale to a full Thor cluster on the same image when you are ready. Same operating system, same APIs, same peace of mind.