NVIDIA® Jetson Orin NX / Orin Nano Fanless Panel PC
• NVIDIA® Jetson Orin™ NX 16GB
(1024 CUDA cores + 8-core ARM Cortex-A78AE CPU + 16 GB LPDDR5)
• NVIDIA® Jetson Orin™ NX 8GB
(1024 CUDA cores + 6-core ARM Cortex-A78AE CPU + 8 GB LPDDR5)
• NVIDIA® Jetson Orin™ Nano 8GB
(1024 CUDA cores + 6-core ARM Cortex-A78AE CPU + 8 GB LPDDR5)
Platform Security Controller (PSC), Security Engine (SE)
10.1″
1280 x 800
1000 nits
800:1
178/178
50000
PCT w/ AG and AF treatment
Optical Bonding
1 x Line-out, 1 x Mic-in (optional)
• 1 x 2.5 GbE (Optional 4 x PoE+ for PoE model)
• 1 x GbE via M12 X-code
4 x GMSL-2 via FAKRA (for GMSL Model)
1 x CAN FD via M8
2 x USB 2.0 via M8
3 x DI (DC 60 V) + 4 x DO (12VDC/100mA)
• 1 x RS-232/422/485 via M8
• 1 x RS-232 via M8
1 x USB Type-C (device only)
CE, FCC Class A, UKCA, E-Mark
• 1 x M.2 3042/3052 Key B for WWAN w/ Nano SIM support
• 1 x M.2 2230 Key E for Wi-Fi/BT
1 x M.2 2242 Key M for NVMe SSD (Pre-installed system BSP)
DC 9-60V (nominial power input DC 12V/24V/48V)
OCP, OVP, surge protection, reversed polarity protection
Ignition detection
Removable top tray for RTC coin cell battery
NVIDIA® JetPack 6.2 or above
(Jetson Linux and NVIDIA® development tools included)
-25°C ~ 60°C (-13°F ~ 140°F) with 0.6 m/s airflow
-40°C ~ 85°C (-40°F ~ 185°F)
10% RH ~ 95% RH (non-condensing)
• IEC 60068-2-64, random, 2.5G@5~500Hz, 1hr/axis
• MIL-STD-810H, Method 514.8, Procedure I, Category 4
MIL-STD-810H, Method 516.8, Procedure I, trucks and semi-trailers=15G (11ms)
6 x SMA connector mounting hole
VESA 100 x 100
4.15 kg (9.15 lb)
260 x 179 x 75 (10.24 x 7.05 x 2.96 in.)
IP66
VPC-101RB2S-OB-(P/G2)-(ONX16/ONX8/ON8)
(P=with PoE+, G2=with GMSL, None=w/o function board)
Jetson Platfom:
ONX16= Jetson Orin 16GB
ONX8= Jetson Orin 8GB
ON8= Jetson Orin Nano 8GB
Made in Taiwan
M.2 2242 Key M NVMe SSD 240G/256G/480G/512G/960G, -40°C ~ 85°C
M.2 2230 Key A-E Wi-Fi module, -40°C ~ 85°C
M.2 3042/3052 Key B WWAN module w/ thermal kit, -40°C ~ 85°C
M.2 2242 Key B GNSS module, -40°C ~ 85°C
Taipei, Taiwan, May 19, 2025 – SINTRONES Technology Corp. (TWSE 6680), a leader in edge AI applied computing, will showcase its cutting-edge innovations at COMPUTEX 2025. The exhibition will highlight three key aspects of edge AI advancements: rugged IP66 solutions, GPU-accelerated computing, and vision-enabled applications. Additionally, SINTRONES will present its latest breakthroughs in in-vehicle computing performance and its ongoing advancements in display computing technologies. Must-See Live Demos: Rugged IP66 Edge AI By simulating real-world environments, the water-resistant and dustproof IBOX-650P-IP66 will reveal its exceptional ruggedness in hostile environments while showcasing advanced AI performance powered by the NVIDIA® Jetson AGX Orin™ module, delivering up to 275 TOPS for real-time video analytics and problem-solving. This makes it an ideal solution for outdoor traffic monitoring, traffic flow optimization, and transportation efficiency enhancements. GPU-Accelerated AI Vision The ABOX-5220, featuring the Raptor Lake-S Refresh i9-14900T processor and Intel® Arc™ A370E, will demonstrate high-precision anomaly detection and time-sensitive alert notification using OpenVINO™ AI inference deployment. With its AI-accelerated GPU, the ABOX-5220 enables instant edge-based decision-making, making it an optimal choice for industrial automation, mobile surveillance, and security inspection systems. Machine Vision Solutions SINTRONES has teamed up with industry players to ensure smooth machine vision integration within its embedded systems. The industrial-grade edge AI computer, IBOX-601-M12X, capable of delivering real-time and high-bandwidth video transmission and analytics, will work in tandem with oToBrite’s GMSL-2 automotive-grade cameras to perform the AI-driven monocular depth estimation task, trying to predict the depth information of a scene from the captured image, making it a top choice for Advanced Driver-Assistance Systems (ADAS) and in-vehicle infotainment. Additionally, SINTRONES will showcase the EVERPRECISION soldering (spot welding) robot that utilizes its embedded computer...
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