ASUS’s Embedded GPU Edge AI systems are designed to deliver robust GPU computing with AIoT potential, featuring embedded MXM GPU modules from NVIDIA® and Intel®, and supporting a variety of form factors for diverse applications. ADLINK’s Embedded GPU Edge AI offers high-performance GPU acceleration using NVIDIA Ampere architecture, suitable for compute-intensive and AI-driven applications in harsh environments. Both ASUS and ADLINK systems are tailored for real-time AI inferencing at the edge, enhancing applications in industries such as manufacturing, healthcare, and transportation.
ASUS Embedded GPU Edge AI
Key Features:
- Dual 450-watt TDP GPUs: Supports up to two high-power graphics cards for robust AI inferencing and accelerated computing.
- Military-Grade Design: Built to withstand extreme temperatures, voltage variations, and resist vibrations and shocks.
- Diverse Industrial Applications: Suitable for challenging environments like in-vehicle systems, factory automation, and intelligent video analytics.
Use Cases:
- Machine Vision: Utilized in factory automation to enhance quality control and process efficiency.
- Intelligent Video Analytics (IVA): Applied in surveillance and security for real-time monitoring and analysis.
- Factory Automation: Improves operational efficiency and safety in manufacturing environments.
ADLINK Embedded GPU Edge AI
Key Features:
- NVIDIA Ampere Architecture: Provides high-performance GPU computing suitable for AI-driven applications.
- Industrial-Grade Resilience: Operates reliably in harsh conditions, handling compute-intensive and memory-hungry tasks.
- Versatile Application Scope: Tailored for time-sensitive and mission-critical industrial applications across various sectors.
Use Cases:
- Smart Manufacturing: Automated optical inspection (AOI) and real-time analysis of manufacturing processes to improve efficiency and quality control.
- Smart Cities: Applications like smart parking solutions and traffic management to enhance urban living.
- Healthcare: Accelerated image reconstruction for mobile X-ray, ultrasound, and endoscopic systems, contributing to faster and more accurate diagnoses.
- Transport Safety: Real-time object detection on railways or airport runways to enhance safety measures.
- Autonomous Navigation: Route planning for drones and mobile robots, aiding in tasks like last-mile delivery.