Document Library

Enterprises deploying security, WAN optimization, and AI-driven services at the network edge face a hard tradeoff: data-center-class performance rarely fits the space, power, and latency constraints of edge and branch environments. The Tenerife Networking Appliance Series resolves this. Built on the Intel® Xeon® 6 SoC HCC processor and scaling from 12 to 42 cores, Tenerife delivers server-grade compute in a compact, short-depth 1U chassis purpose-built for edge, core, and hybrid deployments.

The Dagger™ A9101 is a compact edge computing platform designed for space-constrained environments that demand reliable performance, connectivity, and deployment flexibility. Ideal for healthcare and life sciences, medical imaging and diagnostics, physical and cyber security, training and simulation, and advanced manufacturing applications, it brings powerful computing closer to where data is created and decisions are made.

iWave Zero Defects is an AI-powered visual inspection platform enabling manufacturers to achieve near-zero defect production through real-time automated quality inspection. The solution combines computer vision, deep learning, and edge AI to detect surface defects, dimensional deviations, contamination, scratches, missing components, and assembly anomalies with high accuracy while reducing false rejects.

GrayEye by Graymatics transforms existing CCTV and IP camera networks into real-time operational intelligence. The application analyzes live video at the edge to detect safety violations, intrusions, crowding, queues, vehicle events, fire, smoke, and operational risks, then delivers alerts, searchable evidence, dashboards, and APIs for faster action. GrayEye has been onboarded to the ASUS NUC 15 Pro+, powered by Intel® Core™ Ultra processors (Series 2), providing compact, energy-efficient compute for multi-camera environments. Intel® graphics support efficient video decode and display, while the OpenVINO™ toolkit helps optimize AI inference for responsive, scalable analytics.

See how Intel® Core™ Ultra Series 3 brings real-time video AI to the edge, with verified performance data and a validated system design.

Reference architecture documenting hardware BOM, software stack, and install steps for edge VLM video insights on Core™ Ultra Series 3 and RHEL 10.2.

An advanced AI solution for public safety and smart venue experience, deployed on Intel® Xeon® 6 Edge Server and Intel® Arc™ Pro GPU

Generative AI enabled real-time maintenance and repair diagnosis solution deployed on Intel® Xeon® 6 Edge Server and Intel® Arc™ Pro GPU

Modern industrial edge AI deployments often face severe power, thermal, and spatial constraints that limit local processing performance. The UP Nexus WCL Edge solves these operational challenges by delivering plug-and-play edge AI acceleration in a compact, energy-efficient enclosure.

Broox AI Vision Platform helps retailers, brands, and digital signage providers make physical retail media as measurable as digital advertising. Running on Intel®-based edge devices, the platform uses real-time computer vision to analyze audience attention, dwell time, demographics, campaign performance, and product interactions, generating actionable insights without storing or transmitting raw video.

Centillion’s CAMARA Zero Trust AI Inference Gate adds an independent, operator-originated network evidence layer to enterprise AI. Before inference, CAMARA telecom APIs evaluate SIM-swap, device-swap, roaming, and location signals for the device, surfacing account takeover and credential abuse before a prompt reaches the model.

OmniSuite is an end-to-end full stack turnkey physical AI platform that enables OEMs to add autonomous navigation capabilities to industrial equipment in weeks instead of years. Combining perception, control, navigation, safety, diagnostics, UI, Fleet Management, API and Application Layers in a complete navigation stack, the solution eliminates the complexity of building and training custom autonomy systems from scratch.