Advancements in AI are transforming industrial applications, from autonomous robots to smart cameras. "Since the rise of ChatGPT, generative AI is fueling new use cases," says Steven Shi, Senior Product Sales Manager at AAEON.
However, AI-driven solutions for real-time operations face challenges, as cloud systems struggle with tight latencies. More data processing is shifting to the edge to meet these demands.
But existing edge hardware often lacks the performance and throughput needed for industrial AI automation.
Meeting modern demands to support today’s industrial needs, edge systems must deliver high performance in compact designs, function in harsh environments with low power consumption, and support Time-Sensitive Networking (TSN). TSN ensures precise real-time coordination across systems, critical for industrial automation.