Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.
1～15 item / All 15 items
Robust and compact single-slot edge computing system.
The Apollo from Concurrent Technologies in the UK is a rugged COTS system optimized for size, weight, power consumption, and cost (SWaP-C). It features a single slot for SOSA-compliant payloads and offers a wide range of I/O options.
Equipped with NVIDIA Jetson AGX Orin, providing robotics and edge AI solutions that can be utilized in various scenarios.
The AdiCS9009 is an edge AI computing system equipped with the NVIDIA(R) Jetson AGX Orin. The Jetson AGX Orin delivers performance that is 6 to 8 times greater than its predecessor, the AGX Xavier, depending on the application. It provides robotics and edge AI solutions that can be utilized in various scenarios such as logistics, traffic systems, and factory automation. <Features> ■ Equipped with NVIDIA(R) Arm(R) Cortex A78AE processor ■ Two LAN ports: 1GbE and 10GbE (RJ-45) ■ 16-lane MIPI expansion connector x1 ■ M.2 sockets x3 (B-key/E-key/M-key) ■ Wide range DC power input of 9~36V ■ Supports Ubuntu 20.04 OS ■ USB 2.0 Type-C (OTG only) x1, USB 3.2 Gen1 Type-A x2, USB 3.2 Gen2 Type-C x1
Commercially usable computing system with NVIDIA Jetson module implementation.
JETSON-FLOYD is a compact AI computing system that integrates a FLOYD carrier board for the NVIDIA Jetson Xavier NX module or Jetson Nano module into an enclosure with excellent environmental resistance.
Industry solutions that enable deep learning at the edge.
The "HFBX-6300_DL" is an AI edge solution that enables the acquisition and analysis of video and image data in manufacturing environments more accurately and quickly. Equipped with Intel Xeon processors, it offers high performance while consuming low power. Additionally, by combining it with the deep learning framework "KAIBER," it allows for high-speed inference at the edge. 【Features】 ■ High-speed processing ■ High-speed inference ■ High scalability ■ Realizes edge computing with embedded devices ■ Enables more accurate and faster acquisition and analysis of video and image data in manufacturing environments *For more details, please refer to the PDF document or feel free to contact us.
Compact embedded box computer equipped with Intel Arrow Lake series processor.
The 【KMDA-3306-T002】 is a high-performance, small, and compact embedded box computer. It features an SGCC box structure and an aluminum extruded heat dissipation shell. Equipped with an Intel Arrow Lake series processor, it offers rich IO capabilities and shock-absorbing design, making it ideal for application scenarios such as AGV/AMR, machine vision, and embedded intelligent robots.
Intel Meteor Lake Compact Embedded Box Computer
The 【KMDA-3306-S002】 is a high-performance, small, and compact embedded box computer. It features an SGCC box structure and an aluminum extruded heat dissipation shell. Equipped with an Intel Meteor Lake series processor, it offers rich IO capabilities and shock-absorbing design, making it ideal for application scenarios such as AGV/AMR, machine vision, and embedded intelligent robots.
Compact BOX PC equipped with PCIe expansion ports featuring Intel's 12th generation Alder Lake-S CPU.
The 【KMDA-7921】 is a fanless high-performance box computer equipped with the H610 chipset. It features an Intel 12th generation Alder Lake-S CPU, multi-IO interfaces, dual PCIe, and dual PCI quad expansion ports, achieving a compact size. It is suitable for various industries and fields such as industrial automation, highway toll collection, AI edge computing, security monitoring, and environmental sensing.
A detailed explanation of the benefits of introducing a specially designed edge computing platform for the industrial sector!
Utilizing on-site data is the key to successful manufacturing DX. To collect and analyze large amounts of data in real-time, there are various challenges such as stable operation, security measures, and maintenance. This is where edge computing comes into focus. The edge computing platform 'ztC Edge' can recover from troubles without stopping the system due to its redundant configuration, and it allows for speedy and easy implementation and operation. It is equipped with functions such as device monitoring, self-protection, and security, and is actively used in various facilities. Currently, we are offering a document that includes a report by an external research company on the effects of implementing 'ztC Edge'. The document presents examples based on interviews with mining, manufacturing, and food and beverage companies, showcasing reductions in system maintenance time and management costs, helping you understand the benefits of adopting 'ztC Edge'. [Contents (excerpt)] ◎ Analysis of product implementation effects ◎ Benefits of product implementation ◎ Cost analysis over three years ◎ Introduction of product overview and features *For more details, please refer to the document. Feel free to contact us as well.
DeviceEdge Jetson Series
● The NVIDIA Jetson Orin NX module achieves up to 100 TOPS, which is about five times that of the NVIDIA Jetson Xavier NX module. The NVIDIA Jetson Orin Nano delivers a maximum of 40 TOPS, which is 80 times that of the NVIDIA Jetson Nano module. ● It is a highly expandable fanless system that includes an M.2 B-Key x1 for LTE/5G support, an M.2 E-Key x1 for Wi-Fi/BT support, and an M.2 M-Key x1 for storage. To address the lack of data storage in edge computing, the AIE-PO22/32 and AIE-PN32/42 support an external 128 GB M.2 2242 NVMe with high-speed data transmission. ● Specially designed to achieve fanless and silent operation, it caters to a variety of applications such as smart cities and smart agriculture, where cost-effective maintenance and improved reliability are required. It operates over a wide temperature range from -25°C to 55°C and supports a broad input power range of 12 to 24 VDC, allowing for flexible power supply options.
Flexible AI on ARM Edge Computing Systems
• Aetina's AI On ARM edge computing platform AIE-KR1B-B1 is equipped with the Rockchip RK3588 and seamlessly integrates with various AI accelerator cards. It offers a wide range of inference performance from 13 TOPS for entry-level applications to 214 TOPS for high-performance edge applications. Designed to meet different AI acceleration needs, it accelerates real-time video analysis and high-precision object detection. Additionally, the AI modules can be easily swapped without redevelopment, reducing time to market. • A cost-effective platform with excellent video processing capabilities Aetina's AIE-KR1B-B1 enables real-time video analysis and is ideal for executing smart security and smart retail applications such as multi-channel monitoring and customer behavior analysis.
Mission-critical edge computing system platform for deployment.
The Hornet, manufactured by Concurrent Technologies in the UK, is a rugged COTS system designed for operation in harsh environments, optimized for size, weight, power consumption, and cost (SWaP-C) in a 2-slot configuration.
Compact fanless system and AI development kit
◆ AI performance and low power consumption: Provides 40 to 100 TOPS of performance with power consumption configurable in the range of 7W to 25W for AI computing using Orin NX and Orin Nano, which can run multiple AI inference pipelines simultaneously. ◆ Supports multiple I/O and expansion capabilities for flexible deployment: With flexible scalability through USB 3.2 and GMLS2, it accommodates various video inputs, controls, and wireless modules. ◆ Support for NVIDIA software and remote management: Supports NVIDIA's scalable software, the latest AI stack, flexible microservices, SDKs, and APIs. Additionally, it enables 24/7 remote management via OTA and OOB with AllxonDMS.
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Combining high performance and robust applications! Introducing examples of achieving autonomous driving.
In this document, we introduce three architectural examples that utilize the Eurotech HPEC system to achieve autonomous driving. We present cases of "high-performance data logging," "realizing edge AI with high-performance onboard computing," and "redundant HPEC architecture for autonomous driving." Please take a moment to read through it. [Contents] ■ High-performance data logging ■ Realizing edge AI with high-performance onboard computing ■ Redundant HPEC architecture for autonomous driving *For more details, please refer to the PDF document or feel free to contact us.
Equipped with a neural processing unit (NPU) and adopting the power-efficient Cortex-A53, it meets the needs of all embedded applications.
The EIC-2000, equipped with an industrial-grade Arm-based NXP i.MX 8M Plus quad-core Cortex-A53 processor and built-in NPU supporting up to 2.3 TOPS, features GigE LAN ports compliant with Intel Time-Sensitive Networking (TSN) standards, enabling seamless access. Additionally, it offers a rich set of expansion options including two USB 3.0 ports, one Micro USB port, two Nano SIM card sockets, and a Mini PCIe socket, making it an ideal AI edge computing system for applications such as base station construction, irrigation systems, and factory automation in AIoT/Industry 4.0. *Please download the catalog or visit our website to check the main specifications.*
What is "Edge Computing," which is attracting attention in manufacturing DX? A clear explanation of its features and benefits!
To promote digital transformation in the manufacturing industry, the utilization of IoT data is essential. "Edge computing" is gaining attention as a system that collects large amounts of data, visualizes and analyzes it in real-time, and puts it to use. This document provides a clear explanation of what edge computing is, its features, and its benefits for those who may be asking, "What is edge?" [Contents (excerpt)] ◎ What is "Edge"? ◎ Reasons why edge computing is gaining attention ◎ Five benefits of edge computing ◎ Challenges in operating edge computing systems ◎ Points to consider when implementing edge computing *For more details, please refer to the document. Feel free to contact us with any inquiries.
