Syslogic is a Preferred Partner in the NVIDIA Partner Network and delivers ultra-robust, AI-ready Edge AI Computers based on NVIDIA Jetson modules, including the NVIDIA® Jetson Orin™ NX. Our field-proven industrial computers are engineered for demanding applications where durability, longevity, and reliability are critical. Syslogic Edge AI systems power advanced AI deployments worldwide – from railways and smart city infrastructure to agriculture, construction equipment, special-purpose vehicles, and mobile robotics. Developed and manufactured in Europe, Syslogic systems ensure high quality, reliable supply chains, and long-term availability.
Agriculture
Off-Highway + Construction
AGVs + Mobile Robotics
Coming soon

NVIDIA® Jetson Orin™ NX
Super Mode
AI Accelerator
Agriculture
Off-Highway + Construction
AGVs + Mobile Robotics
Coming soon

NVIDIA® Jetson Orin™ NX
Super Mode
AI Accelerator
Agriculture
Off-Highway + Construction
Coming soon

NVIDIA® Jetson Orin™ NX
Super Mode
AI Accelerator
Agriculture
Off-Highway + Construction
Coming soon

NVIDIA® Jetson Orin™ NX
Super Mode
AI Accelerator
Railway + Transportation
Coming soon

NVIDIA® Jetson Orin™ NX
Super Mode
AI Accelerator
Syslogic’s AI edge computers deliver exceptional computing power for demanding industrial applications. Built on the latest NVIDIA Jetson Orin NX System on Module (SOM), they provide advanced AI and machine learning capabilities with up to 157 TOPS of performance – ideal for real-time inference, sensor fusion, and autonomous decision-making at the edge.
Designed for Harsh Industrial Environments
The embedded box PCs are engineered for reliable operation in challenging industrial conditions. Advanced thermal management enables stable performance without active cooling, while the robust mechanical design ensures long-term durability. Their compact form factor allows easy integration into industrial systems, vehicles, and mobile platforms.
Flexible Connectivity and Configuration
Syslogic AI edge computers are available in multiple form factors and can be configured with a wide range of interfaces, including CAN, Ethernet, RS232, USB, and digital/analog I/O. Optional wireless modules further extend connectivity, allowing seamless integration into existing infrastructures and distributed systems.
ROS 2-Ready for Robotics and Vehicles
The embedded systems are ROS 2-ready, making them an ideal platform for robotics, autonomous vehicles, and mobile machines. The edge computers support fast deployment of perception, navigation, and control stacks, enabling developers to accelerate time to market for complex robotic and vehicle-based AI applications.
Long-Term Embedded Platform
With Syslogic AI edge computers, OEMs and system integrators gain a long-term, dependable embedded solution developed and manufactured in Europe. Designed for longevity and stability, these platforms support industrial product lifecycles and ensure reliable availability for years to come.
Security is built in by design. UEFI Secure Boot and hardware-based TPM protect against unauthorized access, while a multistage watchdog and integrated temperature monitoring ensure stable 24/7 operation by detecting and handling faults early.
Powered by the NVIDIA Jetson Orin SoM, Syslogic AI edge computers deliver real-time data processing and intelligent decision-making. They are ideal for advanced robotics, autonomous machines, and high-performance automation in demanding industrial environments.
For developers moving from Jetson Dev Kit to series production, Syslogic offers the ideal hardware. Standardized Jetson Orin NX Industrial architecture and high-speed interfaces enable easy integration and scalable Edge AI and robotics deployment.
From Jetson Orin Nano, Jetson Orin NX, up to Jetson AGX Orin — our technical sales team will help you select the ideal edge AI computer for your performance and environmental requirements. Contact us for expert guidance.
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NVIDIA Jetson is a powerful embedded AI platform designed for high-performance edge AI computers. It enables real-time AI inference directly on the device, powering applications such as industrial robots, autonomous machines, mobile robots (AMRs), drones, smart cameras, and industrial IoT systems. By processing vision, speech, and AI models locally at the edge instead of in the cloud, NVIDIA Jetson delivers low latency, high reliability, and enhanced data security. This makes it ideal for demanding environments and mission-critical use cases in industrial automation, robotics, transportation, railway systems, automotive applications, and smart infrastructure.
NVIDIA Jetson SoMs, including NVIDIA Jetson Orin NX, are the backbone for high-performance edge AI computers used in demanding industrial environments. They are ideally suited for applications such as industrial and mobile robotics, autonomous machines, optical inspection systems, traffic and rail analytics, and advanced industrial automation. Powered by GPU acceleration and the NVIDIA JetPack software stack, developers can deploy computer vision, multimodal AI, and real-time inference in compact, energy-efficient systems that deliver reliable performance at the edge.
NVIDIA Jetson platforms and x86-based edge systems address different requirements at the edge. Jetson systems are purpose-built for GPU-accelerated AI processing, making them highly efficient for workloads such as computer vision, deep learning inference, and robotics. With their integrated CUDA-enabled GPU architecture, Jetson-based Edge AI Computers achieve exceptional AI performance per watt, which is critical for compact, thermally constrained, or mobile deployments.
In contrast, x86 edge systems are designed around strong general-purpose CPU performance and a mature software ecosystem. This makes them well suited for industrial control tasks, legacy application support, protocol processing, PLC-like real-time workloads, and use cases that demand deterministic behavior or high single-core CPU performance. Additionally, x86 platforms offer long-term form, fit, and function stability, allowing system upgrades without major hardware redesign.
In summary, Jetson is typically the preferred choice for AI-driven, GPU-intensive edge applications, while x86 remains the better option for CPU-centric workloads, legacy environments, and systems requiring established industrial standards. Many projects evaluate both architectures, and Syslogic provides industrial-grade solutions for Jetson and x86, enabling customers to select the optimal platform based on performance targets, environmental conditions, and lifecycle requirements.
Jetson Linux (Linux for Tegra, L4T) is the operating system running on embedded PCs and Edge AI Computers based on NVIDIA® Jetson™ compute modules, including NVIDIA Jetson Orin NX. It is a customized, long-term supported Linux operating system derived from Ubuntu, optimized for NVIDIA hardware acceleration. Jetson Linux provides full access to GPU, CPU, and AI accelerators and forms the foundation for deploying computer vision, AI inference, and real-time workloads in industrial, robotics, transportation, and automation applications.
The NVIDIA Jetson lineup includes multiple compute modules designed to cover a wide range of edge AI performance requirements. The modules differ in terms of AI compute capability, power envelope, memory configuration, and available interfaces, allowing system designers to scale from compact, low-power devices to high-end industrial AI systems.
Jetson Orin Nano targets entry-level edge AI applications where space and power efficiency are critical. It is well suited for compact devices performing basic vision and inference tasks.
Jetson Orin NX occupies the mid-performance segment, delivering significantly higher compute density in a small form factor. This makes it a strong choice for mobile robots, autonomous platforms, and industrial edge AI computers that require a balance of performance and efficiency.
Jetson AGX Orin represents the high-end of the Jetson family, offering maximum AI throughput for advanced robotics, multimodal AI processing, and compute-intensive real-time workloads. In real-world deployments, the choice of a Jetson module is driven by factors such as required AI TOPS, thermal constraints, memory capacity, and the overall complexity of the AI models and workloads.