AAEON BOXER-8741AI AI System with NVIDIA Jetson Thor T5000 128Gb

  • Product Name: AAEON BOXER-8741AI
  • System Type: AI Edge Computing System with NVIDIA Jetson T5000
  • CPU: 14-core Arm Neoverse-V3AE 64-bit
  • RAM: 128 GB onboard LPDDR5X
  • Expansion: M.2 slots for 5G, Wi-Fi 6, and NVMe SSD
  • Other Features: QSFP28 x1 for 4×25GbE, 4×5GbE LAN, RS-485 x2, CAN FD x2, DIO/GPIO, MIL-STD-810H vibration/shock, industrial-grade -20°C to 60°C operating temperature

Description

The AAEON BOXER-8741AI is a high-performance AI edge computing system built for industrial-grade applications. Powered by the NVIDIA® Jetson T5000 platform, it delivers advanced AI inference, machine learning, and computer vision capabilities in a compact, rugged form factor.

Equipped with a 14-core Arm® Neoverse®-V3AE CPU and 128 GB of onboard LPDDR5X memory, the BOXER-8741AI provides powerful, low-latency computing for demanding AI workloads. It offers high-speed connectivity with QSFP28 for 4×25GbE, four 5GbE LAN ports, and versatile I/O including RS-485, CAN FD, and DIO/GPIO interfaces. Expansion is available via M.2 slots for 5G, Wi-Fi 6, and NVMe SSDs, making it highly adaptable for edge deployments. Certified to MIL-STD-810H and capable of operating in temperatures from -20°C to 60°C, this system is designed for reliable performance in harsh industrial environments.

Key Features

  • NVIDIA® Jetson T5000™
  • 14-core Arm® Neoverse®-V3AE 64-bit CPU, 128GB onboard LPDDR5x
  • QSFP28 x 1 for 4 × 25GbE
  • 4 × 5GbE LAN
  • RS-485 × 2, CAN FD × 2, DIO/GPIO
  • M.2 expansion for 5G, Wi-Fi 6, and NVMe SSD
  • MIL-STD-810H vibration/shock, –20°C to 60°C industrial-grade

Specification

Specification Details
AI Accelerator NVIDIA® Jetson T5000™
CPU 14-core Arm® Neoverse®-V3AE 64-bit
System Memory 128 GB 256-bit LPDDR5X
Storage Device M.2 2280 M-Key x1
Display Interface HDMI 1.4a x1
Ethernet QSFP28 x1 for 4×25GbE, RJ-45 x4 for 5GbE
I/O Ports RS-232 Pin Header x1 (GND/Tx/Rx/CTS/RTS), RS-485 Pin Header x1, CAN FD Pin Header x2
MIPI CSI-2 Pin Header (4×4-lane, each supports GMSL2)
I²C x4, SPI x2 (supports up to 4 devices), UART x1 (supports Lidar)
12V Fan Connector x1, Line-in / Line-out x1
Onboard Platform Security Controller, Aspeed® AST2600 BMC with Management Console Web Interface
Expansion M.2 B-Key 3052 x1 for 4G/5G LTE
M.2 E-Key 2230 x1 for WiFi 5/6/BT
M.2 M-Key 2280 x1 for NVMe
OS Support NVIDIA Jetpack™ 7.0 and up
Power Supply 2-pin Terminal Block x1 for 12–24V DC Input (Pitch 5mm)
Mechanical / Mounting Dimension: 6.33” x 7.87” (161mm x 200mm), Mounting: TBD
Weight Gross: TBD, Net: TBD
Operating Temperature -20°C ~ 60°C (-4°F ~ 140°F) per IEC68-2-14 with 0.7 m/s airflow
Storage Temperature -20°C ~ 70°C (-4°F ~ 158°F)
Storage Humidity 5–95% @ 40°C, non-condensing
Anti-Vibration TBD
Anti-Shock TBD
Certification CE / FCC Compliant

Side-by-side comparison for the AAEON BOXER-8742AI, AAEON BOXER-8741AI and BOXER-8740AI

Specification BOXER-8742AI BOXER-8741AI BOXER-8740AI
AI Accelerator NVIDIA® Jetson T4000™ NVIDIA® Jetson T5000™ NVIDIA® Jetson T5000™
CPU 12-core Arm® Neoverse®-V3AE 64-bit 14-core Arm® Neoverse®-V3AE 64-bit 14-core Arm® Neoverse®-V3AE 64-bit
GPU 1536-core NVIDIA Blackwell GPU, 64 fifth-gen Tensor Cores Higher-performance GPU integrated in T5000™ 2560-core NVIDIA Blackwell GPU with fifth-gen Tensor Cores
System Memory 64GB 256-bit LPDDR5X 128GB onboard LPDDR5X 128GB 256-bit LPDDR5X
Ethernet / Networking 5GbE LAN ×1, 1GbE LAN ×4 with PoE 802.3af (Max 60W) QSFP28 ×1 for 4×25GbE, 5GbE LAN ×4, PoE 802.3af/at (Max 60W) QSFP28 ×1 for 4×25GbE, 5GbE LAN ×1
Expansion M.2 for 5G, Wi-Fi, NVMe SSD M.2 for 5G, Wi-Fi 6, NVMe SSD M.2 for 5G, Wi-Fi / Wi-Fi 7, NVMe SSD
I/O RS-232/422/485, CAN FD, DIO/GPIO RS-232, RS-485 ×2, CAN FD ×2, DIO/GPIO, advanced MIPI CSI-2, I²C, SPI, UART, fan, audio, SMA antenna, SIM slots USB 3.2 Gen 2 ×2, USB 2.0 ×2, Micro USB (OS flash), control buttons
Operating Temperature -25°C ~ 60°C -20°C ~ 60°C 0°C ~ 40°C
Industrial Rating Rugged edge AI MIL-STD-810H vibration/shock, industrial-grade Industrial-grade (TBD)
Use Case Mid-range AI inference, edge AI tasks High-performance AI workloads, multi-camera and high-bandwidth industrial applications High-speed edge AI, networking-intensive AI inference, data-driven industrial applications
 

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