ADLINK DLAP Series Edge AI Acceleration Platform Selection and Deployment Practical Guide

ADLINK DLAP Series Edge AI Acceleration Platform Selection and Deployment Practical Guide

The computing power challenge of edge AI and the breakthrough path of DLAP

With the explosive growth of industries such as Industry 4.0, smart healthcare, intelligent transportation, and unmanned retail, it has become an irreversible trend to move deep learning inference tasks from the cloud to the edge. Edge AI can not only compress inference latency from seconds to milliseconds, but also significantly reduce dependence on wide area networks while enhancing data privacy protection. However, edge environments impose extremely stringent constraints on computing platforms: limited space, limited power supply, difficult heat dissipation, and the need to withstand industrial grade temperatures, vibrations, and humidity. Traditional server level GPU solutions are difficult to deploy directly, and embedded CPUs cannot meet the computing power requirements for real-time AI inference.

ADLINK (Linghua Technology) has launched the Deep Learning Acceleration Platforms (DLAP) series with its profound accumulation in the field of embedded computing, which is a system level solution designed to solve this contradiction. This series covers industrial workstations ranging from ultra compact fanless Jetson modules to dual RTX flagship cards, forming a complete product matrix that balances SWaP (size, weight, power consumption) and AI performance. This article will provide engineers with a detailed selection and deployment guide based on hardware architecture, interface characteristics, heat dissipation design, software ecology, and typical scenarios.

DLAP series panoramic view: three major positioning, precise coverage

According to the PDF data, ADLINK divides the DLAP platform into three gradients, each targeting different edge AI workloads:

1. SWaP Ultimate Optimization - NVIDIA Jetson Series

This type of platform uses NVIDIA Jetson supercomputer modules to achieve efficient AI inference with minimal volume and passive heat dissipation. Representative models include:

DLAP-201-JT2（Jetson TX2）

DLAP-211-Nano（Jetson Nano）

DLAP-211-JT2（Jetson Xavier TX2 NX）

DLAP-211-JNX（Jetson Xavier NX）

DLAP-301 Nano (Jetson Nano, integrated with 8-channel PoE NVR)

DLAP-301-JNX (Jetson Xavier NX, integrated with 8-channel PoE)

DLAP-401-Xavier（Jetson AGX Xavier）

These systems are compact in size (with a minimum size of only 148 × 105 × 50mm), support a wide temperature range of -20 ℃ to 70 ℃, and have a fanless design, making them ideal for scenarios such as drones, mobile robots, portable medical devices, and smart cameras that are extremely sensitive to weight and power consumption.

2. SWaP - Performance Balanced - DLAP 3000/3100/3200 Series

This series is based on 8th/9th Gen Intel Core i7/i5/i3 processors (LGA1151), paired with ADLINK MxM (Mobile PCI Express Module) graphics modules, and supports MXM graphics cards such as NVIDIA Quadro P1000/P2000/T1000/RTX 3000. The MxM module has a smaller volume and lower power consumption compared to full-length PCIe cards, but still provides considerable CUDA computing power. The difference between the three models is that:

DLAP-3000-CF: H310 chipset, 1 GbE (i219 LM)+3 GbE (i210 AT), 12V DC input, size 235 × 182 × 75mm.

DLAP-3100-CF: Q370 chipset, 1 GbE+5 GbE, USB 3.1 increased to 6, integrated DIO, audio, and TPM 2.0, also 12V DC.

DLAP-3200-CF: Adding 2 PCIe Gen3 x4 expansion slots (FHFL) on top of 3100, with a height increased to 130mm, providing expansion capability for additional acquisition cards or acceleration cards.

The three share 6 channels of DisplayPort (2 CPU channels+4 MXM channels), with dual SODIMM up to 64GB DDR4, supporting M.2 E/B/M key expansion for Wi Fi, Bluetooth, SSD, etc.

3. High performance heavy-duty models - DLAP 4000 and DLAP 8000

DLAP-4000: Equipped with 8th/9th Gen Core processors (H310 chipset), providing one PCIe x16 full height and full length slot, capable of supporting desktop level graphics cards such as NVIDIA Quadro P2200/RTX 4000/5000/6000/8000. The whole machine is 220 × 300 × 150mm, equipped with 300W or 500W Flex ATX power supply, suitable for tasks such as defect detection and medical image reconstruction that require strong computing power from a single card.

DLAP-8000: It is a dual card flagship based on Intel Xeon or Core processors (C246 chipset), supporting ECC memory (up to 64GB), providing 2 PCIe x8 (physical x16) and 2 PCIe x4 (physical x8) expansion slots through the backplane, and can simultaneously install two high-power cards such as Quadro RTX 8000. In addition, it also supports 4 hot swappable 2.5-inch SATA hard drives (RAID 0/1/5/10), CFast, M.2, as well as rich industrial I/O (3 GbE, 4 COM, 8 DI/DO, TPM 2.0). Optional AC or DC (24V) power input, suitable for different environments in vehicles or data centers.

Deep disassembly of core hardware features

1. Processor and chipset combination strategy

Jetson series: Integrated ARM architecture CPU and NVIDIA GPU (Volta or Pascal), unified memory architecture, power consumption of only 5W~30W, suitable for low-power inference.

Intel platform (3000/3100/3200/4000): adopting LGA1151 package, supporting from Celeron to i7-9700E (8-core 8-thread, 65W TDP), as well as low-power "TE" version (35W). The main differences between chipset H310 (3000/4000) and Q370 (3100/3200) are the number of PCIe channels, USB ports, and RAID support. Q370 supports Intel RST RAID, providing richer storage configurations.

DLAP-8000: Introducing Intel Xeon E-2278GE (8-core 16 thread, 80W), paired with C246 chipset, supports ECC memory, and meets data integrity requirements for critical tasks.

2. Selection Guide for Graphics Acceleration Module

MxM module (3000/3100/3200): adopting Type A/B standard, with a maximum power consumption of 120W. ADLINK offers four pre installed options - P1000 (entry-level), P2000 (mid-range), T1000 (new generation), RTX 3000 (high-end). The RTX 3000 is based on the Turing architecture and features Tensor Core, which can accelerate INT8 inference. If you need flexible selection, you can also order the CF-PL2 version without MXM and install it yourself.

PCIe PEG card (4000/8000): The Quadro series supports virtualization (vGPU) and ECC (RTX series), making it suitable for high-precision scientific computing. The RTX 6000/8000 has 24GB/48GB of video memory and can load extremely large models. Attention should be paid to the cooling and power requirements of different graphics cards. The 4000 series with a 300W power supply can support up to RTX 4000 (160W), while 500W can cover RTX 8000 (295W). The 8000 series dual card configuration must use AC power supply (above 500W).

3. Comparison of storage and expansion capabilities

Model 2.5-inch SATA M.2 slot Other

DLAP-3000 2 (external) 1 x E key (Wi Fi/BT)+1 x B key (SATA)-

DLAP-3100/3200 2 (SATA power supply) Same as above+1 x M key (PCIe x4/SATA) 3200 Extra 2 x PCIe x4 FHFL

DLAP-4000 2 (internal) 1 x M key (SATA) 1 x Mini PCIe

DLAP-8000 4 hot swappable 1 x M.2 2280 (B+M key) 1 x Mini PCIe+2 x USIM+CFast

The Jetson series relies on SD cards or mSATA/M.2 with M.2 B key and supports Mini PCIe

For NVR scenarios that require a large amount of local video storage (such as DLAP-301-JNX), equipped with 8 PoE ports (15W per port) and 2.5-inch SATA hard drives, it can simultaneously complete camera power supply, video recording, and real-time inference.

Industrial grade reliability and environmental adaptability

All DLAP products are designed for embedded environments, with key indicators including:

Working temperature: Most Jetson models support -20 ℃~70 ℃, DLAP-3000/3100/3200 ranges from 0 ℃~50 ℃, DLAP-4000 may drop to 0 ℃~40 ℃ depending on the graphics card configuration (high-power card), and DLAP-8000 is also adjusted according to the graphics card.

Anti vibration: DLAP-4000/8000 has undergone 1Grms (5-500Hz) random vibration testing (with SSD and PEG card), meeting the requirements of on-board and rail transit.

Safety certification: All have passed UL/cUL, CB, and EN55032/35 electromagnetic compatibility standards, FCC Class B。

Power supply design: 3000/3100/3200 use Molex 12V DC in with 240W adapter; 4000 built-in Flex ATX AC power supply; 8000 optional AC or DC (24V) input, supporting on-board DC power supply.

Protection level: Jetson small models are IP40, suitable for indoor cleaning or environments with slight dust. If higher protection is required, an external chassis is needed.

Software Ecology and Development Support

ADLINK provides mainstream operating system support:

Windows 10 IoT Enterprise SAC 64-bit（3000/3100/3200/4000/8000）

Ubuntu 18.04 LTS 64-bit（3000/3100/3200/8000），Ubuntu 16.04（4000）

The Jetson series defaults to using NVIDIA JetPack SDK (based on Ubuntu), which supports acceleration libraries such as CUDA, cuDNN, TensorRT, etc.

Of particular note is that ADLINK also provides deep learning consulting and performance analysis services. Through internal profiling tools, it models inference throughput (FPS), energy efficiency ratio (FPS/W), and cost-effectiveness (FPS/$) in a large accelerator database based on user specified neural networks (such as AlexNet, MobileNet, ResNet), batch size, and accuracy requirements, helping engineers quantitatively evaluate before selection and avoid "over design" or "under design". This service is of great practical value for teams lacking hardware comparison experience.

Typical deployment scenarios and model recommendations

1. Unmanned retail/fast food automatic settlement

Requirement: Identify multiple types of products (such as plates, sushi plates) and complete the detection and payment interaction within 1.5 seconds.

Recommendation: DLAP-211-JNX or DLAP-301-JNX (Jetson Xavier NX), with its 384 core Volta GPU and 48 Tensor Cores, can efficiently run lightweight object detection networks such as YOLOv4 tiny. If 8 cameras need to be processed simultaneously, DLAP-301-JNX integrates PoE and NVR functions, which is the most suitable match.

2. Mobile medical imaging (C-arm)

Requirement: Real time processing of X-ray images for enhancement and lesion labeling, requiring portability and low latency.

Recommendation: DLAP-201-JT2 (Jetson TX2) or DLAP-401 Xavier (AGX Xavier). TX2 has low power consumption and is suitable for battery power supply; AGX Xavier offers higher computing power (32TOPS INT8), suitable for more complex reconstruction algorithms. Both are wide temperature and fanless, suitable for mobile carts.

3. Autonomous driving/snow plow obstacle avoidance

Requirement: Identify living objects or obstacles on the road, issue timely warnings, and require high reliability and wide temperature range.

Recommendation: DLAP-3200-CF paired with RTX 3000 MXM, its powerful Tensor Core can achieve real-time semantic segmentation, and 2 PCIe expansion slots can be connected to millimeter wave radar or laser radar acquisition cards. The Q370 chipset provides 5 GbE channels for easy connection of multiple cameras and communication inside and outside the vehicle.

4. Defect detection in smart factories

Requirement: High resolution images (above 4K) require high-precision classification and segmentation, as well as batch processing.

Recommendation: DLAP-4000 paired with Quadro RTX 4000 or 5000, with large memory capacity and support for FP16/INT8 acceleration. If the parallelism of the production line is extremely high, the DLAP-8000 dual RTX 8000 solution can simultaneously process dozens of cameras, and RAID storage ensures data redundancy.

5. Autonomous Mobile Robots (AMR)

Requirements: SLAM mapping, 3D pose estimation, dynamic obstacle avoidance, requiring compactness and low power consumption.

Recommendation: DLAP-211-Nano or DLAP-211-JT2, compact in size, supports CAN bus (some models), easy to communicate with motor controllers. M. 2 and Mini PCIe can integrate Wi Fi 6 or 5G modules to achieve cloud collaboration.

Customization and lifecycle assurance

As an NVIDIA Quadro Embedded Partner and Jetson Elite Partner, ADLINK can be deeply customized based on MxM or PEG graphics cards, including carrier board adjustment, heat dissipation scheme matching, BIOS configuration, etc. For ultra long cycle projects such as military and aerospace, the DLAP series uses industrial grade long-life CPUs and GPUs (such as embedded SKUs) and promises a longer supply cycle, significantly reducing the risk of redesign due to component downtime.

Suggested selection decision flowchart

In actual projects, engineers can filter according to the following steps:

Clarify the inference model and frame rate requirements → Obtain theoretical FPS through ADLINK Profiling tool.

Assess environmental constraints ->size, temperature range, power supply mode (12V/24V/AC), and whether the vehicle is mobile.

Determine I/O requirements → Number of cameras, network interfaces, serial/GPIO, storage capacity, and redundancy.

Balance SWaP → If weight and heat dissipation are the top priorities, prioritize Jetson; If a fan is acceptable and requires stronger computing power, choose 3000/3200; If dual card or large model is required, choose 4000/8000.

Considering scalability, is it necessary to upgrade PCIe slots in the future? Do you need RAID or hot swappable?