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Embedded Graphics Solutions

Designed to support the heavy technological demand of industrial applications, ADLINK’s embedded GPU solutions incorporate the latest NVIDIA GPU technology to take graphics processing to the next level. ADLINK’s GPUs allow for accelerated rendering, AI inferencing, graphics, and computing performance, all while reducing I/O latency and improving system responsiveness. ADLINK also takes common industrial concerns into consideration, with its embedded MXM GPUs that address size, weight, and power constraints and professional PCI express graphics cards that enhance graphics quality and support high-performance computing applications. Importantly, ADLINK’s embedded GPU solutions are durable and long-lived, able to respond to the demanding needs of the healthcare, manufacturing, logistics, transportation, aerospace, telecommunications, and defense industries over a long period.

Embedded MXM GPU Modules

NVIDIA Ampere Architecture
NVIDIA Turing™ Architecture
NVIDIA Pascal™ Architecture
PCIe-to-MXM Adapter

NVIDIA Professional Graphics Solutions

NVIDIA Ampere Architecture
NVIDIA Turing™ Architecture
NVIDIA Pascal™ Architecture

Vertical Applications

Embedded Graphics Solutions for Rail Transportation
Embedded Graphics Solutions for Telecommunications
Embedded Graphics Solutions for Healthcare
Embedded Graphics Solutions for Warehouse Logistics
Embedded Graphics Solutions for Gaming
Embedded Graphics Solutions for Military & Aerospace

Highlighted Features

Accelerated rendering, AI, graphics, and computing performance

NVIDIA CUDA® Cores support general-purpose computing with GPU acceleration. Partnering with Tensor Cores to speed up AI inference and training, alongside RT Cores, which employ real-time ray tracing to boost cinematic image rendering performance and speed, ADLINK’s embedded GPU solutions drive better, faster results.

Compact, durable, and power-efficient embedded MXM GPU modules

A mere one-fifth the size of PCIe graphics cards, ADLINK’s embedded MXM GPU modules minimize the footprint of the host system. The modules are designed to withstand the harsh physical conditions of an industrial environment, including vibrations, shocks, and extreme temperatures. ADLINK’s embedded MXM GPU modules are also easy on energy, with power consumption starting from just 20 watts.

High bandwidth and reduced I/O latency

PCIe 4.0 support offers high bandwidth connection for data-intensive applications. With GPUDirect® RDMA, peripheral devices can directly access GPU memory, reducing I/O latency and increasing overall performance speed.

Long life support

ADLINK’s embedded GPU solutions support five-year product availability to meet long-term development needs and the life cycles of embedded applications.

Resource Library

Brochure
Video
Infographics
Solution Brief

Industrial Display Systems and Panel PCs

ADLINK Offerings:

GPU Solutions
Industrial Touch Screen Monitors
Edge AI Embedded Computers and Media Players
Smart Panels – Open-Frame Panel PCs
Smart Touch Computer – Industrial Panel PCs

Vertical Solutions:

Manufacturing Solutions
Healthcare Solutions
Retail Solutions
Transportation Solutions
Hospitality Solutions

Download

4 Reasons to Choose MXM Graphics Card for AI at the Edge

There is a growing need for GPUs at the edge. Compared with traditional graphics cards, ADLINK embedded MXM graphics cards offer similar performance, but is more power-efficient and only one-fifth the size. Also, they can survive severe temperature extremes, shock and vibration. ADLINK embedded MXM graphics cards can deliver AI inference and compute acceleration to size, weight and power constrained edge applications.

7 Ways GPUs Speed Up Edge Deployment

The need for computing is growing exponentially at the edge. The market size is expected to reach USD 155.9 billion by 2030, expanding at a CAGR of 38.9%*. Leveraging the power of GPUs enables industries to better position for edge computing. Download the infographic to learn seven ways to facilitate the edge transition with embedded MXM GPU modules.

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Heterogeneous Computing for Artificial Intelligence at the Edge

Bringing AI to the edge provides many benefits, including faster response time, enhanced security, improved mobility, and lower communication costs. As combinations of neural networks and frameworks, running on specialized computing cores, are ideal for specific tasks, heterogeneous computing is the best strategy for deploying AI. Download the solution brief to learn how to optimize an AI platform with CPU, GPU, FPGA, and ASIC.

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AdvancedTCA Switch Blade

aTCA-3430

3U CompactPCI Serial Blades

cPCI-A3525

6U CompactPCI 2.0 Blades

cPCI-6636(KL) Series

Embedded Flash Storage

2.5 inch SATA SSD Series

Machine Vision AI

Smart Pallet

COM-HPC Server Type

COM-HPC Ampere Altra

AdvancedTCA Switch Blade

aTCA-3430

ADLINK Edge SDK

Edge SDK

Medical Panel PCs

MLC-AL/ MLC-KL

Extreme Outdoor Servers

SETO-1000

COM Express Type 6

Express-RLP

Preliminary

Mini-ITX Motherboards

AmITX-SL-G

Edge Server

MECS-6110

Machine Condition Monitoring

MCM-204

Embedded MXM Modules

EGX-MXM-T1000

Embedded MXM Modules

EGX-MXM-T1000

Expandable Fanless Embedded PCs

MVP-6100

Motion Control

PCIe-8158

COM-HPC Server Type

COM-HPC Ampere Altra

Industrial Monitors

OM Series

Preliminary

Edge Server

MECS-6110

Deep Learning Inference Platforms

DLAP-301-JNX

Preliminary

Autonomous Mobile Robot

SMR250 series

Preliminary

Autonomous Mobile Robot

SMR250 series

Preliminary

Edge Server

PCIe-ACC100

NVIDIA Jetson Edge AI Platform

DLAP-211-JT2

Industrial Monitors

IM-215

Preliminary

COM-HPC Client Type

COM-HPC-cADP

Preliminary

Machine Vision

PCIe-U300 Series

Integrated Fanless Embedded PCs

MVP-5100-MXM

Embedded MXM Modules

EGX-MXM-RTX3000

VPX 3U Processor Blades

VPX3020

Data Acquisition (DAQ)

USB-2401

Network Security Appliance

CSA-7400

ATX Motherboards

IMB-M45

Preliminary

COM Express Type 7

Express-ID7