The rapid proliferation of Internet of Things (IoT) devices is creating an explosion in the volume of data. By 2025, 150 billion machine sensors and IoT devices will stream continuous data that will need to be processed[i]
.Worldwide spending on artificial intelligence
(AI) systems is forecast to reach $35.8 billion in 2019, an increase of 44.0% over the amount spent in 2018[ii]
. And this demand is far beyond the capabilities of existing CPU platforms.
AI at the edge is enabling organizations to use the massive amounts of data collected on sensors and devices to create smart manufacturing, healthcare, aerospace and defense, transportation, telecoms, and cities to provide engaging customer experiences.
Imagine being able to perceive, understand, and act in real time on massive data flows from billions of sensors in store aisles, on factory floors, and beyond. Imagine having the ability to understand and communicate with customers in real time using natural speech and understanding their body language. For instance, AI-enabled network video recorders (AI-NVRs) can be used for autonomous tracking, customer behavior analysis, and access control for immediate actions to be taken. In aviation applications for instance, AI can be used to greatly decrease runway inspection time, increase obstacle detection and reduce the chances of flight delays. In manufacturing applications for instance, AI-based automated optical inspection (AOI) systems can deliver higher levels of inspections and improve inspection accuracy. In retail and logistic applications, autonomous mobile robots (AMRs) powered by AI can pick and prepare orders, replenish store shelves and deliver packages to customers. AI at the edge can demonstrating complex traffic monitoring and analytics at road intersections.
The rise of autonomy in edge environments, like smart home assistants and autonomous robots, requires the world’s most advanced compute platform. All of this is possible with today's AI, machine learning, and data science techniques combined with ADLINK Edge AI solutions powered by the NVIDIA EGX platform
, which brings the power of accelerated AI computing to the edge. This power enables you to make instantaneous decisions at the edge, especially when connectivity to a data center is limited or not possible.
One of the great challenges with deploying out at the edge is IT management—including edge server operating system installation, Kubernetes deployment, and device provisioning and updating. The EGX platform streamlines this entire process for enterprises by providing a hardened software stack that makes production extremely turnkey for enterprises.
ADLINK Edge AI Solutions and the NVIDIA EGX platform
combine a range of ADLINK and NVIDIA AI technologies with security, networking, and storage architecture capabilities from Mellanox and other suppliers. With ADLINK Edge AI Solutions, companies in the largest industries—smart manufacturing, healthcare, aerospace and defense, transportation, telecoms, and cities—deploy AI quickly and securely, from edge to cloud.
Edge Server with Tesla
ADLINK edge server is a carrier-grade, multi-purpose, and highly scalable edge platform enabling operators and their customers to quickly build and enhance services with NVIDIA’s advanced GPU technologies.
M100-Nano-AINVR is a compact multi-channel AI-enabled NVR powered by NVIDIA® Jetson Nano™, meeting size, weight and power (SWaP) requirements for identity detection and autonomous tracking in public transport and access control.
ADLINK’s DLAP-201-JT2 Edge AI Platform integrates NVIDIA® Jetson™ TX2 to accelerate deep learning workloads for object detection, recognition and classification. The DLAP-201-JT2 can be used to analyze traffic flow at an intersection in real time for traffic management optimization, improve smart bus services, strengthen security surveillance, and many more smart city and smart manufacturing applications.
M300-Xavier-ROS2 is a fanless robotic controller taking advantage of server-class performance of NVIDIA® Jetson AGX Xavier™ to enable autonomous navigation in automated mobile robots (AMR).
Get started today with real-time AI at the edge. Contact ADLINK
for further information about ADLINK Edge AI Solutions.
i] IDC White Paper, sponsored by Seagate, Data Age 2025: The Digitization of the World from Edge to Core, November 2018.
[ii] IDC, Worldwide Semiannual Artificial Intelligence Systems Spending Guide, March 2019.