High-Performance AI Accelerators for Smart Applications
Relec Electronics offers advanced Edge Computing Solutions and AI Accelerators designed to power intelligent systems across industries. Featuring high-performance edge AI processors, our solutions provide the computing power needed for real-time decision-making in IoT, robotics, and machine learning applications.
Scalable & Customisable Solutions
Our edge computing platforms support a variety of AI processors, including Nvidia Jetson, with flexible configurations to meet the demands of AI autonomous vehicles, AI vision, smart healthcare, and industrial automation.
Advanced Processing & Connectivity
- AI accelerator for machine learning to enhance real-time AI workloads
- AI accelerator for robotics applications, improving automation and decision-making
- 5G-ready architecture for ultra-low latency performance
- Extensive I/O interfaces for seamless system integration
Ideal for AI-Driven Applications
Our edge computing for IoT solutions are built to handle intensive AI tasks in:
- Factory Automation
- Industrial Robotics
- AI Vision & Smart Surveillance
- ADAS (Advanced Driver Assistance Systems)
- Smart Healthcare
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At Relec Electronics, we believe “Standard is Just the Beginning.” Contact our expert team today.
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X6-MTH-ORN
Processor: Nvidia ORIN NX computing power by Intel® Core™ Ultra Processor
Memory: Up to 64GB
Form Factor: Edge AI Box
Supports: Display Port, HDMI, USB, CANbus
Size: 250 x 65 x 150mm
Material: IP20
Operating Temperature -20°C to +60°C
LET’S MAKE THIS EASY. CALL 01929 555 700
why choose relec?
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Faster
Our aim is to get back to you with an initial response within the hour.
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Attention to detail
We pride ourselves on getting you the right product, at the right price and on time.
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New ideas
We are constantly looking for latest technology and products for your applications.
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Beyond standard
It’s not just about the product. Our service goes way beyond the norm.
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Easy
We want to make your life as simple as it can be. Call us to find out what we can offer.
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