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.