Evaluating AI Inference Accelerators For Machine Vision Applications
In our latest deep-dive analysis, our team at HotTech put a range of edge AI accelerators through their paces in demanding, multi-stream machine vision workloads, using SSD MobileNet and YOLO models to simulate real-world security and surveillance applications. The standout? Axelera’s Metis PCIe and M.2 cards.
Not only did Axelera dominate raw inference performance — often doubling or tripling competing platforms — but it delivered best-in-class energy efficiency and detection accuracy, all while offering the smoothest developer experience of the bunch. Simply put, Metis is leaner, faster, and smarter.
Whether you’re building for retail, smart cities, or industrial AI at the edge, this new class of accelerator demands attention, and it redefines the total cost of ownership model in its category.
Want to see how it stacks up against NVIDIA and Hailo? Full results, benchmarks, and developer insights await in our complete analysis.