ARM System on Module (SoM)
Customize | ODM | OEM
ARM System on Modules (SoMs) are integral components for various embedded applications, providing advanced processing power and flexibility in development. Whether for IoT, AI, industrial automation, or multimedia applications, ARM SoMs offer a compact, high-performance solution. Neardi specializes in providing ARM-based SoMs that cater to the demands of modern embedded systems, offering a wide range of configurations to suit different applications.
WHY CHOOSE NEARDI
ARM SoM Solutions?
- Extensive Range of ARM SoMs
- Neardi provides a variety of ARM-based modules, including the RK3588, RK3568, RK3399, and more, with different configurations to meet your project requirements.
- Customization Options
- We offer flexible storage and memory configurations, allowing customization to meet specific project needs.
- Advanced Performance
- With the latest ARM Cortex-A processors and powerful GPUs and NPUs, Neardi ARM SoMs deliver superior computing power for AI, machine learning, and other demanding tasks.
- Reliable Support
- Our technical team offers full support, including assistance with hardware, software, and development tools, ensuring smooth integration.
- Global Compatibility
- Neardi's SoMs are designed to work with various OS options (Android, Ubuntu, Debian) for global compatibility across multiple industries.
LCB3588 – High Performance for AI-Intensive Applications
- CPU: RK3588, 4x Cortex-A76 + 4x Cortex-A55, up to 2.4GHz
- GPU: ARM Mali-G610 MP4
- NPU: 6.0 TOPS for AI acceleration
- Memory Options: 4GB, 8GB, 16GB LPDDR4
- Storage: 8GB to 128GB EMMC
- Applications: AI, machine learning, edge computing
LCB3588S – Industrial-Grade Solution
- CPU: RK3588S, 4x Cortex-A76 + 4x Cortex-A55, up to 2.4GHz
- GPU: ARM Mali-G610 MP4
- NPU: 6.0 TOPS
- Memory & Storage: Customizable 4GB to 16GB RAM, 8GB to 128GB storage
- Applications: Industrial automation, robotics, smart devices
LCB3568 – Compact and Versatile
- CPU: RK3568, 4x Cortex-A55, up to 2.0GHz
- GPU: ARM Mali-G52 2EE
- NPU: 1.0 TOPS
- Memory & Storage: 2GB to 8GB LPDDR4, up to 128GB EMMC
- Applications: IoT, smart home devices, industrial applications
LCB3399Pro – Powerful for Multimedia and AI
- CPU: RK3399Pro, 2x Cortex-A72 + 4x Cortex-A53, up to 1.8GHz
- GPU: Mali-T860 MP4
- NPU: 3.0 TOPS
- Memory & Storage: 3GB to 6GB LPDDR3, up to 128GB storage
- Applications: Smart TVs, digital signage, AI processing
Customize Your ARM System on Modules
GPU and NPU for AI Applications:
Our SoMs come with powerful ARM Mali GPUs and Neural Processing Units (NPUs) supporting AI frameworks such as TensorFlow, PyTorch, and Caffe, enabling fast, efficient machine learning tasks.
Memory and Storage:
Flexible configurations with up to 16GB LPDDR4 RAM and storage options ranging from 8GB to 128GB EMMC allow for high-speed performance and ample storage space.
CPU Options:
Neardi’s ARM SoMs feature powerful processors like the RK3588, RK3568, and RK3399, with multi-core Cortex-A76/A55 and A72/A53 configurations, providing the performance required for multi-threaded applications.
Connectivity Options:
Our ARM SoMs support a range of connectivity interfaces, including Ethernet, WiFi, Bluetooth, USB, HDMI, and more, ensuring flexibility for various use cases.
Operating Systems:
Supports Android, Ubuntu, Buildroot, and Debian, providing developers with a wide range of options to suit their project needs.
RFQ
ARM-based System on Modules (SoMs) provide several advantages over other architectures:
Energy Efficiency: ARM processors are renowned for their low power consumption, making them ideal for battery-operated or energy-constrained devices.
Scalability: ARM’s flexible architecture allows for scalable performance, from simple devices to complex AI-powered systems.
Cost-Effective: ARM-based solutions offer a balance between performance and cost, ensuring optimal value for embedded applications.
Robust Ecosystem: The ARM architecture benefits from a large community and extensive software support, including ready-made development tools and operating systems.
An ARM System on Module (SoM) is a compact, integrated hardware module that incorporates the key components of an embedded system, including the processor (CPU), memory (RAM), and storage. ARM SoMs are widely used in applications ranging from IoT devices to AI and robotics.
Choosing the right ARM SoM depends on your application’s performance requirements, connectivity needs, and space constraints. Consider factors such as CPU performance, GPU and NPU capabilities, memory, and storage options.
Yes, Neardi offers customization options for memory, storage, and connectivity configurations to meet the specific requirements of your application.
ARM SoMs are used in a variety of industries, including IoT, industrial automation, healthcare, automotive, and multimedia. Their versatility and high performance make them suitable for both consumer and enterprise applications.
