Specifications

Manufacturer

ARBOR Technology
Taiwan HQ

AI Module

NVIDIA Jetson Thor T5000
Blackwell architecture

CPU

14-core Arm Neoverse V3AE
64-bit

GPU

2650-core NVIDIA Blackwell
96 Tensor Cores (5th Gen)

AI Performance

Up to 2070 TFLOPS (FP4)

Memory

128 GB LPDDR5X

Storage

2× NVMe M.2 Key M 2280
PCIe Gen5 (x2 + x4)

Networking

2× GbE RJ45
1× QSFP 4×25GbE
(64+ HD streams)

Wireless

M.2 E-key Wi-Fi 6E
M.2 B-key 4G LTE/5G
2× SIM sockets

USB

8× USB 3.2 Type-A
2× USB 3.2 Type-C

Serial / CAN

2× RS-232/422/485
CAN-FD (3KV isolated)
up to 3× CAN-FD

Display

2× HDMI 2.0
1× USB-C DP ALT mode

DIO

8-DI / 8-DO (DB9)

Power

DC 9–36V, 3-pin terminal
AT/ATX selectable
ACC/IGN ignition control

Thermal

1× SOM fan + 2× chassis fans

Dimensions

211 × 194 × 111 mm
4 kg

OS

Ubuntu / NVIDIA JetPack 7.0

TPM

SLB9672XU 2.0

Certifications

CE · FCC · industrial-grade

Overview

The ARBOR AEC-8000 Series is a next-generation industrial Edge AI computer built around the NVIDIA Jetson Thor T5000 module. It pairs a 14-core Arm Neoverse V3AE CPU with a 2,650-core Blackwell GPU and 96 fifth-generation Tensor Cores to deliver up to 2,070 FP4 TFLOPS — data-center-class AI performance in a compact, wall-mountable platform measuring just 211 × 194 × 111 mm.

The AEC-8000's standout I/O is its QSFP cage carrying 4× 25GbE, capable of ingesting more than 64 simultaneous HD video streams for multi-camera vision AI. Two M.2 Gen5 NVMe slots, Wi-Fi 6E, 4G LTE/5G, isolated CAN-FD, RS-232/422/485 and 8-channel DIO make it a complete edge AI node for intelligent transportation, autonomous systems and roadside infrastructure.

ARBOR ships the platform in six build-to-order variants. The base AEC-8000 is joined by the AEC-8100 (8× GMSL automotive cameras), AEC-8200 (8× PoE+), AEC-8300 (8× extra USB 3.2), AEC-8400 (8× PoE + 8× GMSL) and AEC-8500 (8× USB + 8× GMSL) — a modular design that reduces integration complexity across different field deployments.

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