The Nvidia Jetson Orin NX, Neardi LCB3588, and Coral SoM stand out as the highest-performing system-on-modules (SOMs) for 2025. These advanced systems bring cutting-edge technology to industries and consumers alike. Why are they so remarkable? Each SOM offers unique features tailored to modern demands.
You’ll find AI and machine learning capabilities integrated into these SOMs, making them perfect for edge computing and predictive analytics. Their enhanced processing power ensures low latency, crucial for real-time applications. Additionally, customization options allow you to choose configurations that fit your specific needs. Whether you’re building smart city solutions or high-performance devices, these SOMs deliver unmatched versatility.
Key Takeaways
The Neardi LCB3588, Nvidia Jetson Orin NX, and Coral SoM are the top-performing SOMs for 2025, each offering unique features tailored to modern technological demands.
The Neardi LCB3588 excels in industrial applications due to its robust design and high-performance capabilities, making it ideal for harsh environments and real-time data processing.
For AI and machine learning tasks, the Nvidia Jetson Orin NX leads with its impressive 100 TOPS of performance, making it perfect for robotics and autonomous systems.
The Coral SoM is designed for energy-efficient AI inference, making it a great choice for IoT devices and smart city applications, ensuring low power consumption.
When selecting a SOM, consider factors like processing power, power consumption, and compatibility with your project requirements to ensure the best fit for your needs.
Key Features and Specifications of the Top SOMs
Nvidia Jetson Orin NX
The Nvidia Jetson Orin NX stands out for its AI and machine learning capabilities. With up to 100 TOPS of AI performance, it’s perfect for robotics, autonomous vehicles, and other sensor-heavy applications. Its small form factor and energy-efficient design make it a favorite for compact systems.
Neardi LCB3588 (Rockchip RK3588)
The Neardi LCB3588 is built around the powerful Rockchip RK3588 processor. It offers a compact design, making it ideal for space-constrained applications. Its high-performance CPU ensures smooth multitasking, while its industrial-grade reliability makes it a go-to choice for demanding environments.
Coral SoM (NXP iMX8M with Edge TPU)
The Coral SoM combines the NXP iMX8M processor with Google’s Edge TPU for machine learning acceleration. It’s designed for edge computing, delivering fast AI inference while maintaining low power consumption. This makes it a great fit for IoT devices and smart city solutions.
Detailed Specifications of Neardi LCB3588
Compact design and dimensions (75mm x 70mm)
The Neardi LCB3588 measures just 75mm x 70mm, making it one of the most compact SOMs available. Its small size allows you to integrate it into tight spaces without compromising performance.
High-performance Rockchip RK3588 CPU
At the heart of the Neardi LCB3588 is the Rockchip RK3588 CPU. This processor delivers exceptional performance, handling complex tasks with ease. Whether you’re running AI workloads or media processing, it ensures smooth operation.
Memory and storage options (LPDDR4/LPDDR4X, eMMC 5.1)
You can choose from LPDDR4 or LPDDR4X memory configurations, paired with eMMC 5.1 storage. These options provide flexibility, allowing you to tailor the system to your specific needs.
Reliability in industrial and vehicle environments
The Neardi LCB3588 is built for tough conditions. Its robust design ensures reliability in industrial and vehicle-mounted systems, making it a dependable choice for critical applications.
Unique Features of the Other SOMs
Nvidia Jetson Orin NX: AI and machine learning capabilities
The Jetson Orin NX delivers up to 100 TOPS of AI performance. It features 896 CUDA cores and 28 Tensor Cores, enabling advanced AI tasks like image recognition and natural language processing. Its configurable power settings (10W to 25W) make it adaptable to various use cases.
Coral SoM: Machine learning acceleration with Edge TPU
The Coral SoM excels in machine learning acceleration, thanks to its integrated Edge TPU. It processes AI workloads efficiently, delivering real-time results. Its energy-efficient design makes it ideal for battery-powered devices and IoT applications.
Comparing Performance Across the Top SOMs
Strengths in industrial environments
When you need a system for industrial environments, the Neardi LCB3588 stands out. Its rugged design handles extreme temperatures and vibrations effortlessly. This makes it a reliable choice for vehicle-mounted systems or factory automation. The Nvidia Jetson Orin NX, while powerful, focuses more on AI-heavy tasks. It performs well in robotics and autonomous vehicles but may not match the Neardi LCB3588’s durability in harsh conditions.
AI and GPU performance comparison
If AI performance is your priority, the Nvidia Jetson Orin NX takes the lead. It delivers up to 100 TOPS of AI performance, making it ideal for tasks like image recognition and deep learning. The Neardi LCB3588, however, balances AI capabilities with general-purpose computing. Its Rockchip RK3588 CPU ensures smooth multitasking, even if its GPU performance doesn’t match the Orin NX. For projects requiring both AI and versatility, the Neardi LCB3588 offers a compelling option.
The Neardi LCB3588, Nvidia Jetson Orin NX, and Coral SoM represent the highest performing System options for 2025. Each excels in specific areas, from AI and machine learning to industrial reliability and energy efficiency. Among these, the Neardi LCB3588 stands out for its unmatched versatility, robust design, and scalability. It adapts to diverse applications, ensuring long-term reliability and performance.
When choosing the right SOM, consider these factors:
Match the CPU architecture to your application needs.
Assess the processing power required for tasks like IoT or AI.
Evaluate power consumption for mobile or battery-operated designs.
Ensure compatibility with necessary peripherals and software.
Check operating system support for your project requirements.
By aligning these factors with your goals, you can select the SOM that best fits your needs.