According to a recent IDC FutureScape report, 75 percent of developer teams surveyed indicated inclusion of AI functionality in one or more applications or services this year. This move toward integration of AI technology in mainstream industrial processes is driving ADLINK’s goal of producing heterogeneous (multi-vendor) computing platforms that combine best-in-class CPU’s, FPGAs, ASICS, and GPUs. Several proof-of-concept solutions that incorporate AI at the Edge, will be shown including:
• An accelerated Multi-access Edge Computing Development Kit (AMEC DEVKIT) with custom GPU capacity for designing Telecom carrier-grade, multi-purpose platforms in support of edge computing applications.
• Smart camera technology that exceeds current machine vision platform capabilities, enabling robust deep-learning inference and empowering defect inspection and object classification requirements in manufacturing environments.
• A smart city platform designed to calculate vehicle flow for improved traffic management.
• An overview of #accessibleollie, a friendly neighborhood mobility solution and the world’s first co-created, self-driving, electric and cognitive shuttle. ADLINK edge computing devices run the inclusive rider experience, sign language translation, and 360° 3D immersive bus ride experience.
Edge Computing is a robust market serving a wide variety of industry verticals requiring many form factors. Combining ADLINK’s extensive and market-proven expertise in supplying embedded and connected platforms for industrial markets with the GPU leader for AI Computing is ideal for enabling high performance, compute-intensive applications in robotics, autonomous vehicles, healthcare, and many other industries.