{"id":20888,"date":"2026-09-30T11:19:28","date_gmt":"2026-09-30T11:19:28","guid":{"rendered":"https:\/\/www.nordtechnology.dk\/brav-7138-next-generation-edge-ai-computing\/"},"modified":"2026-09-30T13:43:50","modified_gmt":"2026-09-30T13:43:50","slug":"brav-7138-next-generation-edge-ai-computing","status":"publish","type":"post","link":"https:\/\/www.nordtechnology.dk\/en\/brav-7138-next-generation-edge-ai-computing\/","title":{"rendered":"BRAV-7138 \u2013 Next-Generation Edge AI Computing"},"content":{"rendered":"

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New BRAV-7138<\/h2>\n

Powerful AI moves closer to industrial machines and production<\/h3>\n

AI no longer needs to be limited to large data centres and cloud-based solutions. With the new JHCTECH BRAV-7138, NVIDIA\u00ae Jetson AGX Thor\u2122 is now available in a compact industrial computer that can be deployed directly alongside machines, cameras and sensors. <\/p>\n

This opens up new possibilities for companies working with robotics, machine vision, automation, autonomous systems and intelligent image processing \u2013 particularly in applications where data needs to be analysed quickly and locally.<\/p>\n

A New Generation of Edge AI<\/h3>\n

The BRAV-7138 is based on NVIDIA Jetson AGX Thor with Blackwell GPU architecture and represents a significant step forward from the previous Jetson AGX Orin generation.<\/p>\n

The platform is designed for more advanced AI models and for what NVIDIA refers to as Physical AI<\/strong>. Here, AI is not only used to analyse data but becomes an active part of systems that need to understand their surroundings and respond to information from cameras, sensors and machines. <\/p>\n

This could include robots that need to navigate and make decisions, vision systems analysing products directly on a production line, or autonomous systems where data processing must take place with very low latency.<\/p>\n

High AI Performance in a Compact Form Factor<\/h3>\n

One of the most interesting aspects of the BRAV-7138 is the combination of high AI performance and a relatively compact industrial design.<\/p>\n

The most powerful configuration is based on the NVIDIA Jetson T5000 with 128 GB memory and up to 2,070 FP4 TFLOPS of AI performance. At the same time, the BRAV-7138-S measures just 220 \u00d7 160 \u00d7 80 mm. <\/p>\n

This means substantial AI processing power can be integrated directly into machines, vehicles and industrial installations where there may not be space for a traditional workstation or server with a dedicated GPU.<\/p>\n

 <\/p>\n

BRAV-7138 can be used for, among other things:<\/h3>\n

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The BRAV-7138 can be used for robotics, machine vision, autonomous mobile robots, drone- and sensor-based surveillance systems, etc. AI-generated images.<\/em><\/p>\n

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Keeping Data at the Edge<\/h3>\n

Local data processing can provide significant advantages in industrial applications.<\/p>\n

Instead of sending images, video or sensor data to an external cloud platform first, data can be processed directly where it is generated. This can reduce latency and dependence on network connectivity while also reducing the need to transfer large amounts of data away from the installation. <\/p>\n

For companies working with production data, camera footage or other sensitive information, local processing can also make it easier to retain control over where data is processed and stored.<\/p>\n

This makes Edge AI particularly relevant in applications where high performance, fast response times and control over data all matter.<\/p>\n

Designed for Industrial Applications<\/h3>\n

The BRAV-7138 is not simply an AI accelerator but a complete industrial computing platform with networking, industrial interfaces, NVMe storage and wide-range DC power input.<\/p>\n

This makes it suitable as the foundation for complete Edge AI systems where cameras, sensors, networks and existing industrial equipment need to be integrated around a single computing platform.<\/p>\n

The series is centred around the compact BRAV-7138-S,<\/strong> while the BRAV-7138-T<\/strong> provides expanded local storage options for applications such as video analytics and other data-intensive workloads.<\/p>\n

From Hardware to a Complete Edge AI Solution<\/h3>\n

High AI performance is only one part of a complete Edge AI solution. In practice, the computer also needs to work together with cameras, sensors, networks and other systems within the installation. <\/p>\n

The operating system, AI software, storage and communication also need to be configured for the specific application. It is therefore the combination of hardware, software and system integration that ultimately determines how well the solution performs in practice. <\/p>\n

 <\/p>\n

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Facts about BRAV-7138<\/h2>\n