AD-AIR-030
AI Inference System Based on NVIDIA Jetson AGX Orin
- Compact and high performance AI box
- NVIDIA® Jetson AGX Orin embedded
- Wide range power inpute and wide operating temperature
- Multiple IO ports: LAN, DIO, COM, USB 3.2 and USB type C
- Versatile expansions with M.2 B key, M.2 E key, SD, PCIe x16(optional) support
- Support Linux Ubuntu 20.04 LTS and JetPack 5.0.1
- WISE-DeviceOn supported for quick AI deployment at scale
| Model | AIR-030-B90A1 |
| Processor | |
| CPU | NVIDIA Arm® Cortex A78AE v8.2 |
| Core Number | 8 |
| Memory | 32 GB |
| Flash | 64GB eMMC |
| GPU | 1792 NVIDIA® CUDA® cores and 56 Tensor cores |
| AI Performance Reference | Up to 200 TOPs (INT8) |
| TDP | 15 ~ 40W |
| Ethernet | |
| Connector | RJ45 x 3 |
| Controller | 3 x Intel I225-LM |
| Speed | Up to 2.5GbE |
| Display | |
| HDMI | 1 |
| Max. Resolution | 3840 x 2160 @ 60Hz |
| I/O | |
| USB | 4 x USB 3.2 Type A, 1 x USB 3.2 Type C, 2 x internal USB 2.0 for security dongle |
| COM Port | 4 (4 x RS232/ 422/ 485) |
| Digital I/O | 16 bit DIO |
| Audio | 1x Line-out |
| OTG USB | 1 x Micro USB (for system recovery only) |
| CANBus | 2 |
| Internal Connectors | |
| Camera Input | 2 x 2-LANE MIPI-CS (internal) |
| Expansion | |
| M.2 | 1 x B key (Type: 2280, 3042) + 1 x E Key (Type: 2230) |
| SD Socket | 1 SD card slot |
| PCI Express x 16 | Optional |
| Others | |
| TPM | TPM 2.0 built in |
| Power | |
| Input Voltage | 9 ~ 36 VDC |
| Power Type | AT/ ATX |
| Mechanical | |
| Weight | 3.63 kg |
| Dimensions | 200 x 220 x 74 mm |
| Environment | |
| Operating Temperature | -10 ~ 60 °C with 0.7 m/s air flow |
| Relative Humidity | 95% @ 40° C (non-condensing) |
| Vibration | 3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis |
| Operating System | |
| Linux | Ubuntu 20.04 |
| SUSI | Yes |
| Certification | |
| Safety Certifications | UL, CB |
| Certifications | |
| EMC | CE, FCC Class B, CCC, BSMI |
AD-AIR-030, an edge AI system powered by NVIDIA Jetson AGX Orin. The NVIDIA Jetson AGX Orin module offers up to 275 TOPS and 8X the performance over the prior generation, enabling the AD-AIR-030 to provide AI developers with ready-to-deploy and easy-to-configure solutions to accelerate AI robotics and vision applications. These edge AI solutions come with software, which facilitates AI development lifecycle management from AI container deployment and AI model over-the-air updates to retraining and performance optimization.
Combined with server-class AI performance, an industrial-grade design, and edge management, AD-AIR-030 is the ideal solutions for Automated Guided Vehicles (AGV), Autonomous Mobile Robots (AMR), robotics, and vision AI applications.