AD-AIR-310
MXM GPU Edge AI System with Intel ® Core™ 14th gen processors i3/i5/i7/i9 LGA1700
- Support Intel ® 14th Gen. Core™ i3/i5/i7/i9 processor up to 65W
- DDR5 SO-DIMM memory support up to 64 GB
- Dual display: HDMI + DP
- Support MXM 3.1 Type A GPU card up to 60W
- Support 2 x 2.5GbE, 16-bit DIO, 2 x CANBus, TPM 2.0
- Qualified for Edge AI SDK
| Model | AIR-310-00A1U |
| Processor | |
| CPU | Intel® 12/13/14th Gen Core™ I Processor |
| Frequency | by processor |
| Core Number | Up to 24C |
| CPU TDP | 65W / 35W |
| Chipset | H610E |
| BIOS | AMI EFI 256 Mbit |
| Memory | |
| Technology | DDR5 5600 MHz |
| Socket | 2 x 262 pin DDR5 SO-DIMM |
| Max. Capacity | 64GB (up to 32GB per SO-DIMM) |
| Graphics | |
| GPU | MXM Type A GPU Module Integration, NVIDIA Quadro or Intel Arc |
| Chipset | Intel® UHD Graphics 770 |
| Graphic Engine | DirectX 12, OpenGL 4.5 HW Encode: H.265/HEVC, H.264/MPEG-4 AVC, MPEG-2, JPEG/MJPEG and VP8. HW Decode: H.265/HEVC, H.264/MPEG-4 AVC, MPEG-2, VC-1/WMV9, JPEG/MJPEG, VP8 and VP9 |
| HDMI | 1 x HDMI 2.0b: 4096x2160@60Hz |
| DP | 1 x DP 1.4a: 4096x2160@60Hz |
| Ethernet | |
| LAN1 | 10/100/1000 Mbps Intel i219 GbE, support Wake On Lan |
| LAN2 | 10/100/1000/2500 Mbps Intel i226 GbE, support Wake On LAN |
| LAN3 | 10/100/1000/2500 Mbps Intel i226 GbE, support Wake On LAN |
| Audio | |
| Main System | Realtek ALC888S, High Definition Line-out, Mic-in |
| Other | |
| Watchdog Timer | 255 levels timer interval, setup by software |
| Others,TPM | TPM 2.0 built in |
| I/O | |
| Serial port | 2 x RS-232/422/485 port with auto flow control |
| USB | 4 x USB 3.0 |
| Digital I/O | 16 bit DIO |
| CANBus | 2 |
| Expansion | |
| M.2 | 1 x M.2 2230 E key for WIFI module |
| Storage | |
| 2.5 " HDD/SSD | Supports 1 x 2.5\" SATA III Drive Bay (Compatible with 9.5mm height) |
| NVMe | 1 x PCIex 4 with M.2 2280 M Key |
| Software | |
| Microsoft Windows | Windows 10/11 IoT Enterprise LTSC |
| Linux | Support |
| Power | |
| Power Type | AT / ATX |
| Input Voltage | 12 ~ 24 VDC |
| Power Adaptor | Optional |
| Mechanical | |
| Dimensions | 215 x 225 x 55 mm |
| Mounting | Desk mounting |
| Weight | 2.5 kg (5.51 lb) |
| Environment | |
| Operational Temperature | 0 ~ 50° C with 0.7m/s air flow |
| Storage Temperature | -40 ~ 85℃ |
| Relative Humidity | 95% @ 40° C (non-condensing) |
| Vibration During Operation | With SSD/MXM : 3 Grms, IEC 60068-2-64, random, 5 ~ 500 Hz, 1 hr/axis |
| Shock During Operation | With SSD/MXM: 30 G, IEC 60068-2-27, half sine, 11 ms duration |
| Certification | |
| EMC | CE/FCC Class B, CCC, BSMI |
| Safety Certifications | UL, CB, CCC |
The AIR-310, a compact edge AI inference system featuring an MXM GPU card, powered by 12th/13th/14th Gen Intel® Core™ 65W desktop processors. The AIR-310 delivers up to 12.99 TFLOPS of scalable AI performance via the NVIDIA Quadro® 2000A GPU card in a 1.5U chassis (215 x 225 x 55 mm).
Despite its compact size, it offers versatile connectivity with three LAN ports and four USB 3.0 ports, enabling seamless integration of sensors and cameras for vision AI applications. The system includes smart fan management, operates in temperatures from 0 to 50°C (32 to 122°F), and is shock-resistant, capable of withstanding 3G vibration and 30G shock.
Bundled with Intel® Arc™ A370 and NVIDIA A2000 GPUs, it is certified to IEC 61000-6-2, IEC 61000-6-4, and CB/UL standards, ensuring stable 24/7 operation in harsh environments, including space-constrained or mobile equipment. The AIR-310 supports Windows 11, Linux Ubuntu 24.04, and the Edge AI SDK, enabling accelerated inference deployment for applications such as factory inspections, real-time video surveillance, GenAI/LLM, and medical imaging.
Edge AI Inference Systems
AIR-000/100/300 series edge AI inference systems offer a variety of CPU options and integrate AI capabilities seamlessly. They feature a compact design and low power consumption, making them ideal for applications in autonomous robotics and automated optical inspection fields.
Scalable Edge AI Performance
Comprehensive range of CPUs, including Intel and NVIDIA Jetson, with built-in AI capabilities
Vertical I/O Support for Industrial Applications
Rich I/Os enable connectivity for multi-function devices and video capture interfaces
Ready-to-deploy AI System
Pre-installed with Ubuntu OS and software toolkits such as Edge AI SDK, DeviceOn, and Robotic Suite
Easy Installation for Harsh Environments
Compact and rugged design supports a wide range of operating temperatures and voltage inputs
