NVIDIA® Jetson Orin NX/Nano IP66 Industrial Edge AI Computer
• NVIDIA® Jetson Orin™ NX 16GB – 100 TOPS
(1024 CUDA cores + 8-core ARM Cortex-A78AE CPU + 16 GB LPDDR5)
• NVIDIA® Jetson Orin™ NX 8GB – 70 TOPS
(1024 CUDA cores + 6-core ARM Cortex-A78AE CPU + 8 GB LPDDR5)
• NVIDIA® Jetson Orin™ Nano 8GB – 40 TOPS
(1024 CUDA cores + 6-core ARM Cortex-A78AE CPU + 8GB LPDDR5)
• NVIDIA® Jetson Orin™ Nano 4GB – 20 TOPS
(512 CUDA cores + 6-cores ARM Cortex-A78AE CPU + 4GB LPDDR5)
Platform Security Controller (PSC), Security Engine (SE)
M12 X-coded for 1 x 2.5GbE & 1 x GbE
2 x USB 3.2 Type-A with cover
* Two ports share 10Gbps bandwidth
1 x HDMI® 2.1 Type-A Supports 3840 x 2160@30Hz
1 x HD audio from the HDMI®
1 x M8 A-coded connector for RS-232/422/485
1 x CAN FD
1 x M8 A-coded connector for 3 x DI / 4 x DO
1 x USB Type-C for System Recovery (Device only)
1 x nano SIM card slot
5 x Pre-cut holes for external SMA antenna
High-capacity Coin Cell Battery for RTC
UPS for System Power Backup
• 1 x M.2 2230 Key E slot
• 1 x M.2 3042/52 Key B slot
• 1 x mPCIe full-size slot (USB 2.0 supported)
1 x Pre-Installed NVMe SSD (240GB/480GB)
NVIDIA® JetPack including Jetson Linux, NVIDIA® developer tools
-25 ~ 70ºC, ambient w/ 0.6m/s airflow
*Operating temp. varies by accessories installed.
-40 ~ 80ºC
10% RH – 90% RH (non-condensing)
CE, FCC Part-15 Class A, E-Mark, EN50155, EN45545 (R25)
• Random – IEC60068-2-64, random, 2.5G@5~500Hz, 1hr/axis
• MIL-STD-810G – Method 514.6, Procedure I, Category 4
MIL-STD-810G, Method 516.6, Procedure I, Trucks and semi-trailers=15G (11ms) with SSD
IP 66
Aluminum alloy
Fanless passive cooling design
Wall-mounting
1,400 g
150 mm (L) x 135 mm (W) x 66 mm (H)
IBOX-600-IP66-ONX16-S05|NVIDIA Jetson Orin NX 16GB / SSD 480GB / Model IP66
IBOX-600-IP66-ONX8-S05|NVIDIA Jetson Orin NX 8GB / SSD 480GB / Model IP66
IBOX-600-IP66-ON8-S05|NVIDIA Jetson Orin Nano 8GB / SSD 480GB / Model IP66
IBOX-600-IP66-ON4-S05|NVIDIA Jetson Orin Nano 4GB / SSD 480GB / Model IP66
IBOX-600-IP66-ON4-S02|NVIDIA Jetson Orin Nano 4GB / SSD 240GB / Model IP66
NVIDIA® Jetson Orin NX / Nano SoM w / 2x LAN/ 1x HDMI / 1x CAN bus / DC 9-60V / Intelligent Computer
Made in Taiwan
M.2 Wi-Fi Module
M.2 WWAN Modem
mPCIe GPS Module
DIN Rail / VESA Kit
The Challenges of Future Automation Systems Future systems demand millisecond-level sensor fusion, sub-10ms cycle times, and real-time inference on data streams for effective automation under volatile operating conditions. Machine vision setups combine high-resolution cameras (generating gigabytes of data per second) with LiDAR or ultrasonic sensors for bandwidth and synchronization challenges. Multi-protocol interoperability (OPC UA, MQTT, EtherCAT, etc.) adds to complexity when industrial networks must handle electromagnetic interference, vibrations above 0.75 G, and thermal fluctuations. Controllers may struggle to keep deterministic responses when juggling decision-making algorithms, including deep learning models for anomaly detection, if edge hardware lacks the GPU or TPU resources for rapid inference. Maintaining wired or wireless connectivity across sprawling facilities complicates integration further. That’s because real-time data sharing can suffer from latency spikes or packet loss in areas with dense machinery. Corrosive chemicals, high dust levels, and recurrent temperature swings can degrade sensor accuracy while triggering calibration drift and hardware failures that disrupt effective automation at scale. Key Elements for Effective Automation AI-Driven Computational Power: High-performance GPUs or TPUs can deliver ideal inference speeds on massive neural models. Such a capability propels effective automation when tackling unstructured data from simultaneous camera and sensor inputs. Edge Computing: Local processing frameworks cut latency to nearly zero and bandwidth strain. It assures effective automation in remote or bandwidth-limited settings. Multi-Device and Sensor Support: Systems must handle synchronized data from LiDAR, multi-gigabit cameras, and industrial sensors with sub-millisecond timing. Protocol interoperability also refines effective automation with precise coordination. Robust Industrial Design: In manufacturing zones, IP66 or higher enclosures, heat-resistant components, and shock-absorbing mounts protect hardware. It sustains effective automation across fluctuating temperatures, dust, and intense vibration. SINTRONES’ Solution: NVIDIA...
Read moreTaipei, Taiwan, January 22 , 2025 – SINTRONES, a world-leading industrial computer manufacturer, announced that its edge AI computing system, the IBOX-600 series, will support NVIDIA JetPack™ 6.2, bringing a comprehensive performance upgrade of Jetson™ Orin™ Super Mode. With the upgraded powerful computing power, the IBOX-600 series will bring revolutionary changes to smart cities, industrial automation, robotics, and other fields. NVIDIA® Jetson™ Orin™ Super SoM significantly improves the TOPS performance, enabling the IBOX-600 series to perform better in processing complex AI tasks such as large language models (LLMs) and visual language models (VLMs). Whether it’s for developing intelligent robots, implementing real-time image analysis, or building innovative city applications, the IBOX-600 series can provide strong support. Key advantages of the IBOX-600 series: Supercomputing power: Process complex AI tasks effortlessly and accelerate the implementation of AI applications. Diverse application scenarios: Applicable to smart factories, smart cities, robots, and other fields. High reliability: Strict testing ensures stable system operation. Easy to develop: Provides rich development tools and robust ecosystem to accelerate product development. Key features of the IBOX-600 series: NVIDIA® Jetson™ Orin™ NX SoM with 1024 CUDA Cores IP66 Design (Waterproof and Dustproof) for Harsh Environment 2 x Ethernet with M12 Connectors 9-60VDC Input with Built-in Smart Power Management -25~ 70°C Operating with Fanless Design Optional Backup Battery for Emergency I/O description on the main panel of IBOX-600-IP66 Austin Cheng, product manager of SINTRONES, said: “The new IBOX-600 series will bring customers an unprecedented edge AI experience. We believe that this will accelerate the application of generative AI in various industries and promote the intelligent upgrading of industries.” SINTRONES launched the IBOX-600 series and related AI development kits explicitly designed for edge...
Read moreTaipei, Taiwan, November 20 – SINTRONES Technology Corp. (TWSE 6680), a global leader in edge-AI applied solutions, proudly presents a new member of its IBOX-600 family – the IBOX-600-IP66, designed to handle edge AI computing instantly and directly on a local site. With its IP66-rated waterproof and dustproof enclosure, the IBOX-600-IP66 also ensures persistent and uninterrupted operation in harsh environments, ideal for intelligent construction sites, sustainable farming, as well as roadside applications such as smart pole and traffic signal control. Equipped with the NVIDIA® Jetson Orin NX / Nano module, the AI-driven IBOX-600-IP66 allows for on-site data processing and inferencing, not only offering ultra-low latency but also accelerating decision-making processes. In addition, since data can be processed locally without being transmitted to the cloud server, security and privacy requirements can also be fulfilled. It’s also worth mentioning that the durability of IBOX-600-IP66 has a lot to do with its ruggedized design and strict testing methods enforced during product development. Armed with two M12 connectors used for industrial Ethernet connections plus three M8 connectors for one CAN FD communication protocol, one DIO port, and one serial port, the IBOX-600-IP66 can maintain its operation reliability and optimal performance regardless of hostile conditions including stormy, dusty, corrosive, and washdown environments. The securely fastened M12 and M8 connectors can also resist shock and vibration, guaranteeing safe network connections, data transmissions, and signal communications. Along with the purposely selected connectors targeting to tackle harsh environments, the edge AI computer can operate within fluctuating temperatures from -25oC to 70oC and supports a wide range of power input from 9 VDC to 60 VDC with SINTRONES’ smart power management and ignition detection technology. Furthermore, the fanless design enables the computer...
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