Edge AI ComputerAE Platform32 TOPS RK3588

AE-3588LBT: Fanless Industrial Edge AI Computer | RK3588 32 TOPS

A high-performance, fanless industrial AI box specifically engineered for harsh environments. Powered by the flagship Rockchip RK3588 processor, serving as a robust gateway for machine vision, deep learning inference, and complex industrial automation.


BITECH AE-3588LBT fanless RK3588 edge AI box, up to 32 TOPS with M.2 NPU expansion


AE-3588LBT — 32 TOPS RK3588 Industrial Edge AI Box

Engineered for Machine Vision & High-Speed Deep Learning Inference

The AE-3588LBT is a high-performance, fanless industrial AI box specifically engineered for harsh environments. Powered by the flagship Rockchip RK3588 processor, this terminal serves as a robust gateway for machine vision, deep learning inference, and complex industrial automation where reliability and high-speed processing are non-negotiable.

Featuring an extruded aluminum unibody and fanless architecture, the unit operates flawlessly in extreme temperatures ranging from -10°C to +60°C while resisting high-level shock (15G) and vibration. The non-isolated interface design prioritizes low-latency data throughput for high-speed industrial communication.

Designed for 7×24 continuous operation in harsh industrial environments, the AE-3588LBT provides the foundation for long-term industrial AI projects with stable supply chain support.


32 TOPS Scalable Heterogeneous AI Acceleration

Built-in 6.0 TOPS onboard NPU scalable up to 32 TOPS via PCIe M.2 expansion module, supporting INT4/INT8/INT16/FP16 mixed-precision inference.


Ultra-HD Video Pipeline: Simultaneous 4K Capture & 8K Display

HDMI 2.0 Input (4K@60Hz) for real-time capture and HDMI 2.1 Output (8K@60Hz) for ultra-high-definition display, creating a seamless hardware loop for AI-driven visual analysis.


Hardened Fanless Design for Wide-Temperature Environment

Extruded aluminum unibody with fanless architecture operates flawlessly from -10°C to +60°C with 15G shock and high vibration resistance.


    • High-Bandwidth Automation Interfaces (Cabinet-Optimized Topology)

Dual Gigabit Ethernet, and 4 RS232,4 RS232/RS485 ports, One CAN with non-isolated design prioritizing low-latency data throughput for high-speed industrial communication.

Production-Ready Edge AI & Machine Vision Applications

The AE-3588LBT transforms the raw power of the RK3588 into a production-ready tool for demanding industrial AI and machine vision applications.


Automated Optical Inspection (AOI) & Semiconductor Defect Detection

Perfect for semiconductor wafer inspection where 4K camera streams are captured via HDMI-In, analyzed using 32 TOPS of AI power for microscopic defects, and displayed in 8K for operator review.


Autonomous Mobile Robots (AMR / AGV) Navigation & SLAM

Acts as the primary controller for warehouse robots, utilizing the CAN Bus to manage motor drivers and the NPU for real-time SLAM and obstacle avoidance.


Intelligent Edge Sensing & Smart City Traffic Infrastructure

Deployed in outdoor traffic cabinets to monitor vehicle flow and illegal maneuvers in real-time, relying on the -40°C to +80°C wide-temp range for 24/7 reliability in any climate.


High-End Medical Imaging & Real-Time Surgical Video Processing

Integrated into diagnostic equipment to enhance surgical videos or medical scans in real-time using high-speed AI inference.

Scalable Edge AI Inference & Model Deployment

Built-in 6 TOPS NPU with PCIe M.2 expansion slot for up to 32 TOPS total AI performance.

Deep Learning Model Scaling Performance

Built-in NPU6 TOPS (INT8 / INT16 / FP16)
AI Expansion1× PCIe M.2 (M-Key) for NPU accelerator
Maximum PerformanceUp to 32 TOPS (6 + 26)
Precision SupportINT4 / INT8 / INT16 / FP16 mixed-precision
Supported FrameworksTensorFlow, ONNX, Caffe, MXNet, Darknet
AI ToolkitRKNN-Toolkit2 for model conversion and optimization

AI Performance Scaling

Built-in NPU

6 TOPS
+ M.2 Module

32 TOPS

Supported AI Frameworks & Toolkits

TensorFlowONNXCaffeMXNetDarknet

Deploy current YOLOv8 models today while remaining fully compatible with next-generation deep learning architectures.

Advanced Video Processing Pipeline

Uniquely equipped with HDMI Input and Output for real-time capture and ultra-high-definition display, creating a seamless hardware loop for AI-driven visual analysis.

Display Interfaces

HDMI Output1× HDMI 2.1 (8K@60Hz output)
HDMI Input1× HDMI 2.0 (4K@60Hz input)
Additional DisplaySupports eDP, LVDS, MIPI display interfaces
Multi-DisplayIndependent multi-display output supported


Video I/O Capabilities

  • HDMI 2.0 Input (4K@60Hz) for real-time camera stream capture
  • HDMI 2.1 Output (8K@60Hz) for ultra-high-definition operator display
  • Closed-loop system: capture 4K frame grabber or industrial camera streams, AI labeling, output 8K visuals
  • Critical requirement for semiconductor inspection and high-end medical diagnostics

Low-Latency Industrial I/O & Networking Integration

The AE-3588LBT integrates dual Gigabit Ethernet, high-speed RS232 serial ports, and a 4-bit GPIO block. By deploying a cabinet-optimized, non-isolated hardware topology, this platform deliberately bypasses the propagation delays typically induced by heavy isolation circuitry. This architecture maximizes raw data throughput and guarantees sub-millisecond signal latency, making it the ideal processing node for high-speed local device coordination and vision-guided cabinet automation.

Industrial I/O Interfaces

RS2324x RS232, 2× RS232/485
GPIO4-bit GPIO
CAN1x CAN (option)
USB2× USB 3.2 Gen1, 2× USB 2.0


Network & Wireless

  • 2× Gigabit Ethernet (1000Mbps)
  • WiFi 6 (optional) + Bluetooth 5.2
  • Mini PCIe for 4G/5G modules with GPS/BeiDou


Cabinet-Optimized Grounding Note

The onboarding RS232 and GPIO interfaces share a unified ground plane with the system’s power input. This non-isolated design is specifically engineered to minimize transmission bottlenecks within a controlled control cabinet or machinery enclosure.
If your system infrastructure requires deployment across long-distance cable runs, faces high electromagnetic interference (EMI), or lacks a unified ground plane, please select the BITECH AE-3588BT, which features native 4000V optical isolation across all industrial I/O pathways.

Front IO panel of the AE-3588LBT RK3588 industrial PC

AE-3588LBT RK3588 Edge AI Box  I/O Port Layout

Hardened Software Platform & Unattended Field Operations

Designed for 24/7 unattended deployment with comprehensive remote management capabilities.


Open-Root Android & Linux BSP Customization

Native Android 12 with full root access for deep system-level customization and proprietary driver integration.


Secure Over-The-Air (OTA) Fleet Management

Over-the-air system and application upgrades simplify the journey from system integration to global mass-market deployment.


Continuous Remote Connectivity via 4G/5G Modules

Mini PCIe slots for 4G/5G modules with GPS/BeiDou support for reliable remote connectivity.

System Reliability Features

Built-in watchdog (software + hardware)
RTC with backup battery
Fanless, cableless, jumper-less design
Real-time remote monitoring

100% 18-hour power-on burn-in test under load

AE-3588LBT BITECH Edge Computing Platform Evaluation Photos

Real photos to verify ports, mounting, and enclosure design.

AE-3588LBT I/O layout: HDMI 2.0 input, HDMI 2.1 8K output, 2× Gigabit LAN, USB 3.2 and RS232/485

AE-3588LBT Industrial Edge AI Computer Front IO

Industrial Mini PC Mounting Options

AE-3588LBT Industrial Edge AI Computer Rear IO

AE-3588LBT dimension drawing fanless RK3588 enclosure

AE-3588LBT Industrial Edge AI Computer Overall Dimensions

Request more photos (inside view / labels / packaging)

AE-3588LBT Complete Hardware Specifications

Core Processing & Memory Subsystem

ProcessorRockchip RK3588, Octa-core (4× A76 + 4× A55), up to 2.4GHz
AI Architecture6 TOPS (onboard) + 26 TOPS (expansion) = 32 TOPS total
Memory8GB LPDDR4 (options: 16GB / 32GB)
Storage128GB eMMC (option: 256GB)

Device OS, Firmware & System Stability

Operating SystemAndroid 12 (native, full Root), Debian 11, Ubuntu 20.04
Development SupportFull BSP, kernel source, driver SDKs provided
StabilityBuilt-in hardware/software Watchdog and RTC with backup battery

Video Pipeline, Physical Interface Layout,Networking, Wireless & Mechanical Dimensions

Video Output1× HDMI 2.1 (8K@60Hz output)
Video Input1× HDMI 2.0 (4K@60Hz input)
Additional DisplayeDP, LVDS, MIPI DSI
Industrial Bus4× RS232,2x RS232/485, 1x CAN BUS option
GPIO4-bit GPIO
Network2× GbE LAN (1000Mbps)
WirelessWiFi 6 (optional), BT 5.2, Mini PCIe for 4G/5G with GPS/BD
Dimensions190 × 126 × 32mm

This overview highlights decision-level specifications. For full electrical and mechanical details, refer to the datasheet.

Technical Comparison: BITECH AE-3588LBT vs. AE-3588BT

CriterionAE-3588LBTAE-3588BT
AI Scalability6 TOPS core computing power + single PCIe M.2 expansion (up to 32 TOPS)6 TOPS core computing power + dual PCIe M.2 expansion (up to 58 TOPS)
Network Topology2× GbE LAN3× GbE LAN (camera / control / uplink separation)
Industrial Interface IsolationIndustrial interfaces are NOT electrically isolated4000V optical isolation on all industrial I/O
Deployment EnvironmentIndustrial control automation cabinets and equipment with built-in AOI vision inspection unitsESS sites, substations, harsh field environments


Engineering Note

AE-3588LBT is ideal for cabinet installations where electrical isolation is handled externally. For ESS sites, substations, long cable runs, or environments with high EMI/ground loop risk, choose AE-3588BT with 4000V isolation.

OEM & System Customization Support for System Integrators

Designed for system integrators and OEMs who require platform customization and long-term supply chain stability for industrial AI and machine vision projects.

OS customization (Android / Linux / Ubuntu / Debian)
Fieldbus and I/O configuration customization
AI framework and deployment support
Open-root SDKs for deep OS customization
BOM freeze and controlled revision management

Tailored Hardware layout & Deep OS Configuration Services

1

Requirements Alignment & Scope Definition (1-2 Weeks)

1-2 weeks

I/O, OS, and integration scope definition

2

Functional Prototype Validation & Sample Evaluation (2-4 Weeks)

2-4 weeks

Hardware validation and software integration

3

Out-of-Tree Driver Integration & Custom BSP Compilation (4-8 Weeks)

4-8 weeks

BSP, drivers, and system configuration

4

Hardware-in-the-Loop Quality Testing & Production Ramp-Up (2-4 Weeks)

2-4 weeks

Quality validation and volume production

BITECH Edge Computing Platform Advantages

32 TOPS Scalable AI Headroom

Choosing BITECH AE-3588LBT means investing in a platform with 32 TOPS of scalable AI headroom, allowing you to deploy current YOLOv8 models today while remaining fully compatible with the next generation of complex deep learning architectures without costly hardware swaps.

Simultaneous 4K Input & 8K Output Pipeline

By leveraging BITECH’s unique HDMI Input/Output synergy, engineering teams can easily implement a closed-loop system that captures 4K frame grabber or industrial camera streams for millisecond-level AI labeling and outputs ultra-HD 8K visuals, a critical requirement for semiconductor inspection and high-end medical diagnostics.

Fanless Industrial Reliability with -10°C to +60°C Wide Temperature Operation and 15G Shock Resistance

BITECH’s commitment to a fanless, unibody extruded aluminum design ensures that the AE-3588LBT maintains peak performance under extreme temperature fluctuations from -10°C to +60°C and high-vibration conditions, guaranteeing zero-failure operation in remote or hazardous field deployments.

10 Year Long-Term Supply Commitment with Open-Root SDK and Deep OS Customization Services

As a dedicated B2B partner, BITECH provides a 24-month warranty and a guaranteed 10 year product lifecycle, supported by open-root SDKs and deep OS customization services that simplify the journey from initial system integration to global mass-market deployment.

Talk to an engineer

Will 6 TOPS do, or does your model need the M.2 accelerator?

Send us your models, video sources and cabinet layout. A hardware engineer will check whether the onboard 6 TOPS NPU is enough, whether to fit the M.2 accelerator for up to 32 TOPS combined, and whether a cabinet with a common ground is right for the AE-3588LBT — or whether the isolated AE-3588BT is the safer choice.

Send us these and we can quote samples

  • AI modelsModel types, input resolution and target frame rate — so we can split the pipeline between the onboard NPU and the M.2 accelerator
  • StorageWhether eMMC or USB storage is enough, or whether the M.2 slot is needed for NVMe instead of the accelerator
  • VideoHDMI capture source, number of streams and display needs: HDMI 8K, eDP, LVDS or MIPI DSI
  • I/O & groundingRS-232/485 devices, GPIO signals, cable lengths and whether everything shares one cabinet ground
  • SiteCabinet type, ambient range, airflow and DC supply — plus 4G/5G, GPS/BeiDou or Wi-Fi 6 needs
  • Software & volumeAndroid 12, Debian 11 or Ubuntu 20.04, any custom image, pilot quantity and annual volume

An engineer — not a sales bot — replies within 24 hours. BSP, RKNN-Toolkit2 conversion notes, burn-in records and sample units available on request.

Long cable runs, high EMI or separate ground domains? You may need isolated I/O — compare with the AE-3588BT →

AE-3588LBT engineering FAQ

AE-3588LBT RK3588 edge AI box — frequently asked questions

What integrators ask most often about NPU scaling, the M.2 slot, video pipeline, grounding and software before ordering samples.

01How do I choose between the AE-3588LBT, AE-3588NBT and AE-3588BT?

Choose the AE-3588LBT when you need RK3588 inference with room to grow: a 6 TOPS onboard NPU plus an M.2 slot for an additional NPU module, HDMI 4K input, 8K output and a -40°C to +80°C operating range in a compact cabinet-mounted box. The AE-3588NBT is the lower-cost indoor gateway with a fixed 6 TOPS NPU. The AE-3588BT adds RK3588J, 4000V isolated I/O and up to 58 TOPS for sites with long cables, high EMI or separate ground domains. See the AE-3588BT vs AE-3588LBT comparison.

02What does “up to 32 TOPS” mean on the AE-3588LBT?

It is the combined AI headroom of two engines: the 6 TOPS NPU built into the RK3588 and an M.2 NPU accelerator of up to 26 TOPS. The two engines do not pool into one 32 TOPS budget for a single model. Each runs its own models through its own SDK, so a typical design splits the pipeline, for example detection on the M.2 accelerator and classification or OCR on the onboard NPU.

03Can I use the M.2 slot for an NVMe SSD and the NPU accelerator at the same time?

No. The single M.2 M-Key slot takes either an NVMe SSD or one NPU accelerator. With the accelerator fitted, storage runs from the 128 GB eMMC (256 GB optional) or USB 3.2. If the project needs both NVMe storage and extra AI acceleration, look at the AE-3588BT.

04How do I convert a PyTorch or TensorFlow model to run on the AE-3588LBT?

Export the model to ONNX or TFLite, then compile it to the .rknn format with Rockchip RKNN-Toolkit2 for the onboard NPU. INT8 post-training quantization with a representative calibration set gives the best throughput. Models for the M.2 accelerator use that accelerator’s own toolchain. Accuracy after quantization depends on the model and calibration data, so validate it on your own production images.

05Can the AE-3588LBT capture HDMI video, run AI and drive a display at the same time?

Yes. It has one HDMI 2.0 input for 4K@60Hz capture and one HDMI 2.1 output up to 8K@60Hz, plus eDP, LVDS and MIPI DSI display options. A typical AOI or inspection pipeline captures from a vision source through V4L2, runs inference on the NPU and renders the overlay on the output. End-to-end latency depends on the source, model and rendering path, so measure it in your own setup.

06Are the RS-232/485 and GPIO interfaces isolated?

No. The 2× RS-232/485 ports and 4-bit GPIO share a ground with the power input, which is the intended design for cabinet installations with a single-point equipotential ground. Route signal cables away from VFDs, relays and AC wiring, and add external isolators for long runs or ground-loop-prone devices. For sites without a unified ground or that need 4000V isolation, use the AE-3588BT. See industrial PC galvanic isolation.

07Does the AE-3588LBT throttle at high ambient temperature?

The extruded aluminum unibody acts as the heatsink, and the unit is rated for -40°C to +80°C operation. Typical machine-vision duty cycles run without throttling. For sustained maximum CPU and NPU load near the top of the range, mount it in a ventilated enclosure or add airflow, and validate thermal behavior with your real workload.

08Which operating systems and BSPs are available?

The AE-3588LBT supports Android 12 with full root access, Debian 11 and Ubuntu 20.04. BITECH provides an open BSP based on Linux 5.10 / 6.1 LTS with kernel source, cross-compilation toolchains and defconfigs, so you can build out-of-tree modules, patch V4L2 for industrial cameras or deliver a custom production image.

09Which interfaces and wireless options does the AE-3588LBT provide?

It provides 2× Gigabit LAN, 2× RS-232/485, 4-bit GPIO, 2× USB 3.2 Gen1, 2× USB 2.0, HDMI 2.0 in, HDMI 2.1 out, eDP, LVDS and MIPI DSI. Wireless options include 4G/5G with GPS/BeiDou through Mini PCIe, optional Wi-Fi 6 and Bluetooth 5.2. The enclosure measures 148 × 126 × 40 mm.

10What testing, lifecycle and customization support does BITECH provide?

Every AE-3588LBT runs an 18-hour full-load burn-in before shipment, and the platform includes hardware and software watchdogs and an RTC with backup battery for unattended operation. BITECH provides a controlled BOM with PCN notice, a 24-month warranty and OEM options for OS images, I/O layout and labeling. See how we test every unit and lifecycle management.

Compare & go deeper

Match the RK3588 platform to the job

The AE-3588LBT pairs a 6 TOPS RK3588 NPU with an M.2 slot for up to 32 TOPS, HDMI 4K input and 8K output in a compact fanless box. If the field I/O needs galvanic isolation, the budget calls for a simpler gateway, or the model needs CUDA, these BITECH platforms and guides cover the rest of the decision.

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