SolidRun launches Bedrock RAI300, a new fanless Edge AI PC featuring the AMD Ryzen™ AI 9 HX 370 (Zen 5) and ROCm™ 7.

SolidRun has launched Bedrock RAI300, a new industrial fanless Edge AI computer based on the AMD Ryzen™ AI 9 HX 370 (Zen 5) with support for the AMD ROCm™ 7 software stack. The combination of Zen 5 CPU cores, Radeon iGPU, XDNA2 NPU, and up to 128 GB DDR5 makes the RAI300 particularly well suited for local AI processing, where data is analyzed close to the source without reliance on the cloud. This makes the platform ideal for manufacturing, automation, machine vision, and other environments requiring high performance and stable 24/7 operation.

Outstanding AI performance in a compact industrial form factor

Bedrock RAI300 brings together advanced AI hardware in a compact and robust x86 design:

• 12 cores / 24 threads (Zen 5) up to 5.1 GHz
• Radeon 890M iGPU with 16 graphics cores
• Integrated NPU with 50 AI TOPS
• Up to 128 GB DDR5, enabling larger AI and LLM models to run locally

The close integration of CPU, GPU, NPU, and memory, together with ROCm™ 7, makes the RAI300 an exceptionally strong platform for Edge AI workloads, where performance and software flexibility are essential.

Designed for industrial environments: -40°C to 85°C

The RAI300 is built for demanding conditions with an advanced fanless thermal design that enables operation across the full industrial temperature range from -40°C to 85°C. The enclosure is made from rugged milled aluminum and is offered in two variants:

• 1.6-liter variant with support for up to 60W
• 0.6-liter “Tile” variant for conduction cooling (cold plate mounting)

The thermal design dissipates more than three times the heat of typical fanless systems, leveraging liquid metal TIM, 360° heat pipes, and a chimney-effect heat exchanger.

Modular platform with flexible I/O

Bedrock RAI300 fits seamlessly into SolidRun’s Bedrock ecosystem and can be configured using the same modular architecture:

• NIO boards (Networking & I/O)
• SX boards (Storage & Extensions)
• PM modules (Power)

The system can be tailored for either display-heavy configurations or network-focused edge setups, including:

• Up to 4 displays (HDMI 2.1 + 3x DP 2.1)
• Up to 4x 2.5GbE
• USB4 Type-C, 4x USB 3.2 and console port
• LTE-modem
• 3x NVMe Gen4 2280 (incl. enterprise NVMe med PLP)

All I/O is located on one side for easy integration into cabinets, racks, and edge installations.

Ready for Linux, Windows, server environments, and IoT

Bedrock RAI300 supports most Linux distributions, Windows Desktop, Windows Server, and Windows IoT, and can be delivered as a barebone system, providing flexibility in the choice of RAM and storage.

Bedrock RAI300 – key takeaways

• New AMD Edge AI-platform

The RAI300 is built on AMD’s latest AI technology, enabling data to be analyzed directly on site—such as images, video, or sensor data, quickly and efficiently without the need to send data to the cloud.

• Modern and open AI software (ROCm™ 7)

The open software platform makes it easier to develop, customize, and update AI solutions over time. This provides greater freedom and future-proofing compared to closed systems.

• Built for harsh environments

The RAI300 is fanless and built in a rugged enclosure, enabling stable operation in both cold and hot environments, from sub-zero temperatures to high heat, without the need for ongoing maintenance.

• Ready for large data volumes

With support for extensive memory and high-speed storage, the RAI300 can handle large data volumes and more advanced analytics directly on site.

• Flexible and easily adapted to the use case

The platform is modular, meaning it can be configured with the connections and features that best fit the application, whether the focus is on displays, networking, or data acquisition.

Availability and Ordering Information

Bedrock RAI300 can be ordered through Nord Technology as an official SolidRun partner.

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BRAV-7131 – A Powerful Industrial Platform for Edge AI and MEC Applications

BRAV-7131 is one of JHCTECH’s most advanced MEC systems, designed for industrial AI and edge computing projects where data processing, real-time analytics and sensor integration must take place directly at the source. It removes the need for cloud processing, minimizes latency, and ensures maximum operational reliability even in the most demanding environments.

The Engine of the BRAV-7131

BRAV-7131 is built on the NVIDIA Jetson AGX Orin platform, delivering up to 275 TOPS of AI performance, a modern 8/12-core ARM processor and fast LPDDR5 memory (32/64 GB). This gives the system the power to run heavy vision models, complex IoT workloads and advanced real-time analytics directly on the factory floor.

The unit also provides a wide range of industrial interfaces, allowing cameras, sensors, robotics equipment and network devices to connect directly to the system. With Gigabit LAN, multiple USB ports, serial interfaces, CAN bus and digital I/O, the BRAV-7131 acts as a flexible and robust hub within modern edge architectures. It can be expanded with 4G/5G connectivity, NVMe storage and Wi-Fi, and is engineered for reliable operation in harsh industrial environments.

Applications

The BRAV-7131 is already deployed in a wide range of industrial applications, including:

Food and pharmaceutical production: High-speed visual inspection of products
Robotics & AGV/AMR systems: Real-time navigation and collision detection
Quality control in metal and plastic manufacturing: AI-based defect detection, measurements and tolerance checks
Transportation & logistics: License plate recognition and intelligent traffic monitoring
Smart cities / Public infrastructure: Analysis of video streams and IoT sensor data

What is a MEC-system

A MEC system (Multi-access Edge Computing) is a high-performance edge computer placed close to the network and the production environment — for example near cameras, robots, vehicles or sensors.
It processes data locally within milliseconds, providing ultra-low latency, high data security and stable operation even without an internet connection.

In practice, a MEC system functions as a local mini-data center, but engineered for industrial robustness and real-time performance. This makes MEC ideal for modern machine vision, Industry 4.0 automation, robotics and intelligent transportation systems.

Case story from JHCTECH

Smart railway track monitoring with BRAV-7131

Modern metro and railway networks place strict demands on safety and fast maintenance. The BRAV-7131 is used as an intelligent edge computer onboard inspection vehicles, where it analyzes track conditions in real time without relying on cloud processing.

Powered by NVIDIA Jetson AGX Orin, the BRAV-7131 delivers the AI performance required to detect cracks, loose fastenings and other defects with high precision and at high speed. The unit can simultaneously process data from multiple sensors and cameras, ensuring continuous monitoring of all track components.

The result is a far more efficient and safer maintenance process. Defects are detected earlier, data is analyzed instantly, and alert signals can be triggered directly onboard. This saves time, reduces costs, and increases operational reliability across the entire railway network.

Availability and Ordering Information

The BRAV-7132 can be ordered through Nord Technology as an official JHCTECH partner.

Contact Us for Specifications, Pricing, and Delivery

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EdgeAI-ORN – next generation Edge AI computers

Nord Technology presents EdgeAI-ORN – a robust and compact Edge AI computer developed by CompuLab, designed for demanding, vision-based solutions in industry. With NVIDIA® Jetson™ Orin NX and Orin Nano modules, EdgeAI-ORN delivers up to 157 TOPS AI performance and is optimized for operation in demanding edge environments.

Designed for Advanced Computer Vision and Machine Learning

EdgeAI-ORN is designed for high-capacity workloads where image and video processing are critical – for example, intelligent traffic management, industrial quality inspection, autonomous machines, retail analytics, and UAV surveillance.

EdgeAI-ORN introduction video

Key Features

• 4 × 2.5GbE PoE Ports for High-Speed Camera Connectivity
• 4 × GMSL2 / FPD-Link IV with Power-over-Coax for Automotive and Robotics Cameras
• 4 × USB 3.2 Gen 2 (10 Gbps) Ports for USB Cameras
• Support for MIPI-CSI, HDMI 2.1, Isolated Serial, GPIO, and CAN Interfaces
• Rugged, Fanless Industrial Design (MIL-STD-810G) with Wide Operating Temperature Range (-25 °C to 75 °C) and 9–36V DC Power Input
• Secure Connectivity with TPM 2.0, Optional LTE/5G, and Wi-Fi/Bluetooth
• Out-of-Band (OOB) Management for Remote Monitoring, Diagnostics, and System Recovery

More than hardware – ready for rapid AI deployment.

CompuLab also offers Accelerated AI Services to help businesses deploy AI solutions quickly:

• Rapid Proof of Concept (POC) for Testing AI Capabilities
• Model Selection, Customization, and Optimization for Customer Data and Requirements
• End-to-End Integration for Production-Ready Solutions

Machine Learning

Machine learning is a method where computers learn patterns from data instead of being manually programmed for every task. The system is trained with examples, enabling it to predict, recognize, or make decisions – for example, detecting defective products, predicting maintenance needs, or analyzing customer behavior.

Availability and Ordering Information

EdgeAI-ORN can be ordered through Nord Technology as an official CompuLab partner.

Contact Us for Specifications, Pricing, and Delivery

As always, our door, telephone or mail box is open, should the above give rise to questions or simply for a chat and sparring.
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Or contact us by phone at +45 7027 0415

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