High-Performance AI Edge Computing System BRAV-7722 Launched! Empowering the Intelligent Future and Ushering in a New Era of Edge Computing

Amid the wave of digital transformation, edge computing is becoming the core driving force behind AI deployment. JHCTECH proudly presents the high-performance AI edge computing system BRAV-7722. With outstanding performance, industrial-grade reliability, and flexible deployment capabilities, it delivers powerful computing support for smart transportation, machine vision, digital healthcare, and more!

BRAV-7722: Born for AI Edge Computing

The BRAV-7722 is a high-performance AI edge computing system powered by Intel® Alder Lake-S, Raptor Lake-S, and Raptor Lake-S Refresh series processors, with the Q670 chipset. Featuring a dual-processor CPU+GPU architecture, it delivers high performance with multiple network ports, multiple display outputs, and rich I/O functions. It also offers optional BMC module support for remote management and a DC 19V power input. Designed for intelligent transportation, machine vision, autonomous driving, smart security, and digital healthcare applications.

🌟 Core Highlights: Six Major Advantages to Redefine Edge Computing

Intel® x86 Platform with Excellent Openness

✅ Equipped with an Intel Alder Lake-S/Raptor Lake-S CPU, delivering high performance with integrated intelligent processing.

✅ Supports Windows 10, Windows 11, and Linux operating systems, meeting MEC requirements for efficiency and security.

Ultra-High Computing Power Combination

✅1* MXM3.1 slot supports Intel® Arc™ A750E (229TOPS)/A770 (262TOPS) GPUs, as well as the NVIDIA® Quadro® A5000 GPUs, delivering powerful edge computing for vehicle-road-cloud integrated perception and fusion.

✅The BRAV-7722, equipped with an Intel® Core™ i5-13500E CPU and Intel® Arc™ A770 16GB GPU, enables real-time fusion of 16 channels of 1080P camera feeds plus 4 channels of radar signals, achieving ultra-low latency as low as 22.4 ms!

Industrial-Grade Reliability Design

✅ Built with industrial-grade design standards and manufacturing processes

✅ Features Industrial-grade electronic components, isolated protection for communication interfaces, EMC up to Level 3

✅ PCB with conformal coating for resistance against mold, humidity, and salt spray

✅GPU with VC vapor chamber cooling design, ensuring high efficiency and stable operation from -20°C to 60°C

Intelligent Remote Operation & Maintenance

✅Equipped with BMC and IPMI management port, supporting remote hardware management and maintenance via a web interface

✅ Supports 4G LTE or 5G NR wireless routing and OTA updates, enabling seamless remote software upgrades

I/O design optimized for MEC applications

✅2* Intel® I210 independent IP Gigabit Ethernet ports, optional 1*10GbE port, 1*IPMI remote management port, 4*USB 3.2, and 2*RS-232/422/485 ports, meeting the communication and sensor access requirements of roadside MEC applications.

Structural design optimized for MEC applications

✅ Single-side I/O layout to save installation space, making wiring and installation easier

✅ Compact size of just 330 × 240 × 100 mm (main chassis); supports desktop installation, suitable for integration into floor-standing cabinets or pole-mounted enclosures.

Specifications Overview

BRAV-7722

🔸Intel® 12th/13th/14th Gen Core i9/i7/i5/i3/Pentium/Celeron LGA1700 Socket CPU;

🔸Dual-channel 4x DDR5 4800/5600MHz, up to 48GB per slot;

🔸3x LAN, 4x USB 3.2, 2x COM, 1x Line-out;

🔸4x HDMI, two integrated graphics, two GPU-based independent graphics;

🔸1x M.2 B-key supports 4G LTE and 5G NR wireless modules;

🔸1x M.2 E-key supports BMC remote management module;

🔸1x M.2 M-key, 1x mSATA and 1x 2.5" SATA bay;

🔸1x MXM3.1, supports Intel Acr A750E and A770 series GPUs;

🔸DC 19V DC power supply interface with reverse connection, overcurrent and overvoltage protection.

Arc A750E ECM 16G

🔸Equipped with an Intel® Arc™ A750E embedded GPU;

🔸17.5 Gbps video memory, 16GB GDDR6;

🔸Four configurable independent display outputs, either DisplayPort or HDMI;

🔸PCIe 4.0 x16 signal, MXM 3.1 module;

🔸Supports DirectX 12 Ultimate Ray Tracing;

🔸Intel Deep Link technology, multi-format codec engine;

🔸190W power consumption (TBP), with optional temperature-controlled fan cooler;

🔸MXM 3.1 Type B standard, suitable for transportation MEC and medical imaging.

🚀 Typical Application Scenarios

✅Vehicle-Road-Cloud MEC: Holographic intersections (AI traffic signal controllers), holographic road segments (tunnels, bridges, etc.), highway incident detection, smart light poles

✅ Machine Vision: 3C machine vision, logistics vision-based sorting, photovoltaic inspection

✅ Medical Imaging: Ultrasound, bone densitometers, surgical robots, G/C-arm X-ray machines

🚀 MEC X86 Solution Recommendation

In edge computing (MEC) scenarios, computing performance, power efficiency, and environmental adaptability are the key considerations. Based on the Intel® x86 architecture, JHCTECH provides MEC edge computing solutions that address a wide spectrum of requirements, from fundamental perception to advanced AI inference.