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AVerMedia D133ONB Industrial Box PC — NVIDIA Jetson Orin NX/Orin Nano
$1,156.78
The AVerMedia D133ONB is an ultra-compact industrial box PC built around NVIDIA Jetson Orin Nano and Orin NX modules. It is designed for engineers who need to take a computer-vision or edge AI application from prototype to field deployment in a footprint where a full-size industrial PC will not fit. If your project needs dual-camera capture and real-time inferencing in a space smaller than a lunchbox, this is built for it.
Who it's for
- Stereo vision and dual-angle camera projects that need two native camera inputs without an external capture card
- Smart retail, smart camera and smart city deployments, where an open dev-kit board is a liability
- Machine-vision, AIoT and robotics teams moving from a Jetson developer kit to field-hardened hardware
- Cabinets, kiosks and outdoor enclosures that see real temperature swings
Key features
- NVIDIA Jetson Orin Nano or Orin NX module: the D133ONB ships with an Orin Nano 8GB module, while the closely related D133OXB variant offers Orin NX 8GB or 16GB for higher throughput. Both are ready for computer-vision and edge AI inferencing, with no separate carrier-board integration required.
- Pocket-sized chassis: 93 x 81.2 x 81.9mm, for deployments where every centimeter of cabinet or enclosure space is already spoken for.
- Dual MIPI camera inputs: 2x 4-lane MIPI CSI-2 connectors (22-pin FPC, 0.5mm pitch) for stereo vision, dual-angle coverage or independent camera feeds without an external capture card.
- 256GB NVMe SSD included: a pre-installed M.2 Key M 2280 NVMe drive ships standard, so there is no separate storage purchase before you can start deploying.
- Display and networking built in: HDMI output at up to 4K30 (Orin Nano) or 4K60 (Orin NX), 1x Gigabit Ethernet (RJ-45) and an M.2 Key E slot for Wi-Fi.
- Industrial expansion header: a 20-pin header exposing 2x I2C, 1x UART and 9x GPIO for sensor integration, actuator control and custom hardware triggers.
- Wide operating range: rated from –25°C to 60°C for cabinets, kiosks and outdoor enclosures.
- RTC battery and health monitoring: an onboard real-time clock with MCU-monitored battery life, useful for unattended installations.
Specifications
| Spec | Detail |
|---|---|
| Compute Module | NVIDIA Jetson Orin Nano 8GB (D133ONB) / Orin NX 8GB or 16GB (D133OXB variant) |
| Storage | M.2 Key M 2280 NVMe, 256GB SSD pre-installed |
| Display Output | 1x HDMI, up to 4K30 (Orin Nano) / 4K60 (Orin NX) |
| Camera Inputs | 2x 4-lane MIPI CSI-2 (22-pin FPC, 0.5mm pitch) |
| USB | 2x USB 3.2 Type-A, 1x USB 2.0 Type-C (recovery) |
| Networking | 1x Gigabit Ethernet (RJ-45), M.2 Key E 2230 for Wi-Fi |
| Expansion Header | 20-pin, 2x I2C, 1x UART, 9x GPIO |
| Power Input | 12V/5A via 3.5mm screw terminal, 9–24V accepted range |
| Power Consumption | Approx. 14.4–31.5W depending on module and load |
| Operating Temperature | –25°C to 60°C |
| Storage Temperature | –40°C to 85°C |
| Dimensions | 93 x 81.2 x 81.9mm |
| Weight | Approx. 500g |
| RTC | Onboard real-time clock with MCU battery-life monitoring |
| Operating System | NVIDIA JetPack / L4T (Ubuntu-based) |
| Certifications | CE, FCC, KC |
| Target Applications | Smart retail, smart camera systems, smart city, AIoT, machine vision, robotics |
Good to know
- AVerMedia does not publish a specific AI TOPS figure for the D133ONB. The number that matters is the Jetson module’s own published rating: NVIDIA’s Orin Nano and Orin NX modules span roughly 40–100 TOPS depending on configuration and Super Mode, and the module you select sets that ceiling.
- This is an inferencing and computer-vision deployment platform running the standard NVIDIA JetPack/L4T stack, so models trained and validated on a Jetson developer kit deploy with minimal changes.
- AVerMedia positions the D133/DX33 box PC family for smart retail, smart camera and smart city solutions.
Pick the D133ONB when you need a sealed, mount-and-forget Jetson box with two native camera inputs. If you need an Orin NX module for higher throughput, look at the D133OXB variant instead.