ADLINK Deploys AI from Edge to Cloud with NVIDIA EGX Platform: Accelerated Edge Computing Solutions

The rapid proliferation of Internet of Things devices is driving an unprecedented surge in data volume. By 2025, an estimated 150 billion machine sensors and IoT devices will continuously stream data that must be processed in real time. IDC forecasts global spending on AI systems to reach $35.8 billion in 2019, a 44 % jump from 2018, far beyond what conventional CPU platforms can support.

Edge‑AI empowers enterprises to harness the wealth of sensor data, enabling smarter manufacturing, healthcare, aerospace, defense, transportation, telecom, and urban services that deliver engaging customer experiences.

The growing demand for autonomous edge solutions—smart home assistants, autonomous robots, and more—requires the world’s most advanced compute platforms. ADLINK’s Edge AI solutions, powered by NVIDIA EGX, bring accelerated AI computing to the edge, allowing instant, on‑premise decisions even when connectivity to a data center is limited or unavailable.

Deploying at the edge brings IT‑management challenges: installing edge‑server operating systems, deploying Kubernetes, provisioning devices, and managing updates. EGX streamlines the entire process with a hardened software stack that makes production turnkey for enterprises.

ADLINK Edge AI Solutions combine NVIDIA’s cutting‑edge AI technology with robust security, networking, and storage architecture from Mellanox and other partners. Together they enable rapid, secure deployment of AI from edge to cloud across smart manufacturing, healthcare, aerospace, defense, transportation, telecom, and smart city applications.

The ADLINK edge server is a carrier‑grade, multi‑purpose, highly scalable platform that lets operators and customers quickly build and enhance services using 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 requirements for identity detection and autonomous tracking in public transport and access control scenarios.

ADLINK’s DLAP‑201‑JT2 Edge AI Platform integrates NVIDIA Jetson TX2 to accelerate deep‑learning workloads for object detection, recognition, and classification. It can analyze real‑time traffic flow at intersections, optimize traffic management, improve smart bus services, strengthen security surveillance, and support a wide range of smart city and manufacturing use cases.

M300‑Xavier‑ROS2 is a fanless robotic controller that leverages server‑class performance of NVIDIA Jetson AGX Xavier to enable autonomous navigation in automated mobile robots (AMR).