Specifications
Series / Models
AIE-VN34-128-A1, AIE-VN44-128-A1 (Jetson Orin NX); AIE-VO24-128-S1, AIE-VO34-128-S1 (Jetson Orin Nano Super Mode)
AI Performance
34 TOPS (VO24), 67 TOPS (VO34), 70 TOPS (VN34), 100 TOPS (VN44)
Module Options
Jetson Orin Nano Super Mode 4GB / 8GB; Jetson Orin NX 8GB / 16GB
GPU
512-core NVIDIA Ampere with 16 Tensor Cores (VO24); 1024-core Ampere with 32 Tensor Cores (VO34 / VN34 / VN44)
CPU
6-core Arm Cortex-A78AE v8.2 (1.5 MB L2 + 4 MB L3); 8-core on the 16GB Orin NX build
Memory
4 GB 64-bit LPDDR5 at 34 GB/s; 8 GB 128-bit at 68 GB/s; 8 GB and 16 GB 128-bit at 102.4 GB/s
Storage
1x M.2 M-Key 2242 with 128 GB built in
Camera Inputs
4x GMSL2 via Fakra-Z for long-distance, low-latency, interference-resistant links; supports 360-degree perception
Power Input
DC-in 9 to 36 VDC, 3-pin terminal block (V+ / V- / IGN) with integrated ignition power control and safe shutdown
Networking
1x RJ-45 Gigabit Ethernet
USB
2x USB 3.2 Gen 2 Type-A (up to 10 Gbps shared) plus 1x OTG USB 2.0 Type-C
Serial and I/O
1x DB9 GPIO (2x digital in, 3x digital out default; RS-232 on request), 1x DB9 isolated CAN supporting CAN FD
Expansion
M.2 M-Key and M.2 E-Key slots; 2x Wi-Fi antenna holes
Display
1x HDMI 2.0b Type-A
Ruggedization
MIL-STD-810H shock and vibration; operating -25 to +55 C; 95% RH at 40 C non-condensing
Certification
CE, FCC Class A, UKCA, E-Mark E24 automotive
Dimensions
136.3 x 132 x 63 mm; 1.36 kg net / 2.07 kg with packaging; wall or DIN-rail mounting
Software
Linux with NVIDIA JetPack 6.2 and above; Aetina-optimised BSP with long-term support
Overview
Aetina's AIE-VN34/44 and AIE-VO24/34 are palm-sized in-vehicle edge AI computers built on NVIDIA Jetson Orin NX and Jetson Orin Nano Super Mode modules. At 136.3 x 132 x 63 mm they are small enough to mount inside a vehicle cabin or an AMR chassis while still delivering 34 to 100 TOPS of inference, which is the reason they exist: surround-view perception, blind-spot detection and real-time video analytics need to run locally, at low latency, on power that a vehicle can actually supply.
The design decisions are all automotive and mobile-machine driven. Four GMSL2 Fakra-Z camera inputs carry long-distance, interference-resistant video with the latency characteristics coaxial links provide, giving 360-degree coverage from a single box. Power input spans 9 to 36 VDC with integrated ignition power control — the unit starts and shuts down safely with the vehicle rather than relying on an external sequencer. The enclosure passes MIL-STD-810H shock and vibration testing, and the whole product family holds E-Mark E24 automotive certification alongside CE, FCC Class A and UKCA.
Software support is Linux on JetPack 6.2 and later with an Aetina-optimised board support package, and Aetina ships the systems with 128 GB of built-in M.2 NVMe as standard, plus M.2 E-Key expansion for wireless. QS Compute supplies Aetina's DeviceEdge and in-vehicle Jetson systems to fleet, robotics and industrial programmes — contact us for configuration, JetPack support questions and volume pricing.
Key Benefits
Vehicle-integration ready. 9-36 VDC with ignition control and E-Mark E24 certification. 360-degree vision from one box. Four GMSL2 Fakra-Z inputs with no external deserialiser. Palm-sized and rugged. 136.3 x 132 x 63 mm, MIL-STD-810H shock and vibration, -25 to +55 C. Right Jetson for the budget. Orin Nano Super Mode from 34 TOPS up to Orin NX 16GB at 100 TOPS on one platform.
Applications
Commercial vehicle surround-view monitoring and blind-spot detection, autonomous mobile robots and AGVs in warehouses, smart factory production lines with real-time defect detection, mobile machine vision on agricultural and construction equipment, security and inspection robots, and indoor or outdoor AMR fleets requiring a rugged low-power Jetson computer with native automotive camera inputs.
Request a Quote — AETINA AIE-VN34/44 AND AIE-VO24/34 — PALM-SIZED IN-VEHICLE EDGE AI SYSTEMS WITH 4X GMSL2
QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.
Get Your Quote →