Anvil-RX embedded mission computer

Anvil-RX is an enclosed Jetson AGX Orin computer for onboard sensor processing. It combines camera and network connections with configurable serial interfaces, a TPM security device and board-support software; memory and GPU resources depend on the module.
Description
The Anvil-RX embedded mission computer from Connect Tech is a sealed, rugged edge computing system built around the NVIDIA Jetson AGX Orin module. It serves as an onboard mission computer for running AI inference, sensor fusion and video processing on vehicles that operate outdoors, and it is housed in an enclosure rated IP67 with M12 and sealed PC connectors.
The system is aimed at autonomous mobile robots, general robotics, agriculture and industrial machinery, and the same architecture suits unmanned ground and aerial platforms that need to process several camera streams on board. Eight GMSL2 camera inputs allow a multi-camera perception stack to be fed directly, while the Jetson module supplies the compute: 200 TOPS with the 32 GB module, 275 TOPS with the 64 GB module and 248 TOPS with the Industrial module.
For an integrator, the module choice decides the processing resources. The 32 GB variant carries an 1792-core Ampere GPU with 56 Tensor cores and an 8-core Arm Cortex-A78AE CPU; the 64 GB and Industrial variants carry a 2048-core GPU with 64 Tensor cores and a 12-core CPU. Memory is 32 GB or 64 GB of 256-bit LPDDR5 at 204.8 GB/s, with ECC on the Industrial module. Internal storage can be extended with 2 TB, 4 TB or 8 TB options.
The connection set covers most onboard buses. Networking consists of two 10GBASE-T and two 2500BASE-T ports on four M12 X-code connectors. Serial interfaces include two UARTs configurable as RS-232, RS-422 or RS-485, one I2C channel and one SPI channel at 3.3 V, a 3.3 V debug UART and two CAN bus ports. There are two USB 3.2 ports capable of 10 Gbps, one HDMI output on a sealed connector, and six 3.3 V GPIOs, two of which support PWM, plus two 3.3 V outputs rated 1 A. Wireless options are dual-band WiFi 6E with Bluetooth 5.2, 5G/LTE and RTK GNSS. An SLB9670 TPM 2.0 chipset provides hardware-backed security.
The unit accepts a supply of +18 V to +60 V, which allows direct connection to battery buses of many vehicles without an intermediate converter. Operating temperature runs from -40 degrees C to +65 degrees C, the mass is 5.2 kg (11.46 lbs), and the system is tested to MIL-STD-810H in addition to its IP67 rating. Software support comes as board support packages for NVIDIA JetPack and Linux for Tegra, released per JetPack version, and the platform is described as ROS capable.
Typical uses are onboard perception and autonomy computing on robots and vehicles, camera-based inspection, mapping and agricultural machinery. Cables and accessories are sold separately, including CAN, I/O and flying-lead cables, antennas, a dust cap kit and an AC/DC power supply for bench work, and the maker supplies a spec sheet, manual and 3D model for mechanical planning.
Specifications
| General | |
|---|---|
| Grade | Professional |
| Market | Civil[1][2][3] |
| Platform class | Small UAS (<25 kg), Large UAS (25–150 kg), Heavy UAS (>150 kg), eVTOL, Ground, Marine |
| Airframe | Any |
| Availability | In production |
| Mass | 5,200 g[1] |
| Dimensions (L × W × H, mm) | 279mm x 214mm x 145mm[1][2][3] |
| Operating temperature | -40 – 65 °C[1] |
| Waterproofness (IP rating) | IP67[1] |
| Key specifications | |
| Processor | NVIDIA Jetson AGX Orin.[1] |
| Physical interfaces | UART, RS-232, RS-422, RS-485, I²C, SPI, CAN, USB, PWM, Discrete I/O, Ethernet, HDMI[1] |
| Additional specifications | |
| GPU | NVIDIA Ampere; 1792 CUDA/56 Tensor cores for 32 GB module, or 2048 CUDA/64 Tensor cores for 64 GB/Industrial modules.[1] |
| Camera inputs | 8[1] |
| Operating system | NVIDIA JetPack / Linux for Tegra; manufacturer board-support packages.[1] |
| Form factor | IP67 enclosed rugged embedded Jetson AGX Orin system.[1] |
| Supply voltage | 18 – 60 V[1] |
| Security features | SLB9670 TPM 2.0 chipset.[1] |
| Certifications and compliance | |
| Certifications | ndaa |
Sources
- connecttech.com/product/anvil-rx-rugged-system-powered-by-nvidia-jetson-agx-orin · checked November 3, 2026
- connecttech.com/corporate-info · checked November 3, 2026
- connecttech.com/ftp/pdf/ESG635_Anvil-RX_spec_sheet.pdf · checked November 3, 2026
A value without a number has no recorded source yet: we are adding it.
Reviews & Ratings
– / 5
No reviews yet. Be the first to rate.
Rate this product
Almost done: send the form below to publish your rating.
Thank you: your review is published and already counts in the rating.
Demo mode: the form is not connected yet and nothing was sent.
More products from Connect Tech
FeaturedMission computersRudi-NX embedded mission computer
- Grade
- Professional
- Market
- Dual-use
- Availability
- In production
Featured
Alternative products
Featured
FeaturedMission computersA179 Lightning embedded mission computer
- AI performance
- 21 TOPS
- RAM
- 8 GB
- Grade
- Professional
FeaturedMission computersVOXL 2 AI companion computer and flight controller
- AI performance
- 15 TOPS
- RAM
- 8 GB
- Grade
- Professional
Featured
Related news

Connect Tech widens EdgeAI camera and BSP support
Connect Tech adds four camera platforms and JetPack 7.2 board support packages to its EdgeAI Stack. The Guelph company also lengthens its limited warranty to two years on eligible products.

Honeywell tests alternative navigation for GNSS-denied flight
Honeywell Aerospace presents results from demonstrations of celestial-, vision- and magnetic-aided navigation that support inertial systems when GNSS signals are lost. Its star-tracker based system matches GNSS-INS performance under…

Honeywell HGuide o480 INS/GNSS navigator with AIM+ anti-jamming
Honeywell Aerospace offers the HGuide o480, a 26-gram INS/GNSS navigator for attritable military platforms and industrial uses. The unit pairs an IMU and a GNSS receiver with AIM+ anti-jamming, and it is available globally without export…
This product listing is maintained by our editorial team and may contain errors. Last updated .



















