Moving From Automation to Autonomy
The ADLINK Deep Learning Acceleration Platforms (DLAP) Series is a set of compact, industrial-grade servers that are size, weight, and power optimized for Edge AI applications. The DLAP series is designed for durability in harsh industrial and embedded environments, operating at extended temperature, shock, and relative-humidity ranges. These systems are built with long lifecycle products, including GPUs, to significantly extend their availability.
DLAP Edge AI Platform Powered by NVIDIA Jetson™
These new ADLINK DLAP Edge AI Platforms feature NVIDIA® Jetson™ modules to handle deep learning workloads for object detection, recognition, and classification suitable for industrial embedded applications such as medical image processing, logistics automation, autonomous vehicles, smart retail, and AI NVR. Options for industrial I/O and visual inferencing capabilities are available.
DLAP-201-JT2
DLAP-211-JNX and DLAP-211-Nano
DLAP-401-Xavier
DLAP Embedded Systems Powered by NVIDIA Quadro® GPU and Intel CPU
These ADLINK DLAP embedded systems use NVIDIA Quadro GPUs to speed up parallel task processing and Intel CPUs to manage large amounts of data and run statistical computations. DLAPs can handle the job of consuming data from multiple sensors simultaneously and then processing those large amounts of data while withstanding heat, shock, and vibration. They are the perfect choice for Autonomous systems from AMRs to Self-Driving Vehicles.
DLAP 3000, 3100, and 3200
DLAP-4000
Moving from Automation to Autonomy: Driving and Robotics
ADLINK is the exclusive edge computing provider for the Indy Autonomous Challenge, A $1.5 million university prize competition to win the world’s first head-to-head, high speed autonomous race at the famed Indianapolis Motor Speedway. They are supporting the advancement of autonomous driving and autonomous mobile robotics for industry by encouraging next generation developers.