In this four-session technical webinar series, Neousys Technology examines hardware engineering challenges associated with deploying Edge AI systems in demanding operating environments, including power management, thermal performance, GPU selection and sensor integration.
Presented by Bruce Pai, FAE Team Leader, and Polin Liao, Senior Applications Engineer, at Neousys Technology, the on-demand sessions explore hardware engineering considerations for industrial Edge AI applications.
The four technical sessions cover:
– Power and thermal management: Techniques for managing power spikes and high-TDP thermal dissipation in compact, fanless computing architectures.
– Workload-specific GPU selection: Hardware evaluation criteria for matching computing capabilities with Edge AI inference and vision tasks.
– Software and driver integration: NVIDIA Jetson BSP compatibility, custom drivers and operating environment challenges.
– High-speed sensor deployment: Selecting and synchronising GMSL2 automotive cameras for Autonomous Mobile Robots (AMRs) and in-vehicle vision systems.
Watch the on-demand webinar series to learn more about hardware selection, integration and deployment considerations for industrial Edge AI applications.
