Hailo Unveils High‑Performance M.2 & Mini PCIe AI Acceleration Modules for Edge Devices

AI chipmaker Hailo has introduced M.2 and Mini PCIe acceleration modules built on its Hailo‑8 processor, delivering powerful AI performance to a wide range of edge devices—from smart city infrastructure and retail systems to Industry 4.0 automation and connected homes.

These modules allow manufacturers to embed high‑performance AI directly into edge hardware, accelerating diverse deep‑learning workloads efficiently while preserving a compact, industry‑standard form factor that shortens time to market.

The modules integrate effortlessly with popular frameworks like TensorFlow and ONNX, thanks to Hailo’s proprietary data‑flow compiler. This compatibility lets developers migrate neural networks to the Hailo‑8 processor with minimal effort.

With a growing demand for high‑performance, low‑cost edge solutions, the plug‑in modules are timely. Fanless AI edge boxes—capable of aggregating dozens of cameras or sensors—are particularly sought after for outdoor deployments. Hailo‑8 delivers 26 TOPS of compute and 3 TOPS/W of power efficiency, enabling these modules to be inserted into any edge platform equipped with an M.2 or Mini PCIe slot. The result is superior performance, lower latency, and enhanced data privacy.

Benchmark tests reveal that the Hailo‑8’s average inference speed exceeds competitors by a wide margin—26× faster than Intel’s Myriad‑X and 13× faster than Google’s Edge TPU—across standard neural‑network workloads, according to the latest published data.

Orr Danon, Hailo’s CEO, emphasized: “Across sectors, integrating AI into edge hardware has become essential—solutions without AI can no longer compete. Our Hailo‑8 M.2 and Mini PCIe modules enable manufacturers worldwide to deliver powerful, cost‑effective AI products quickly, all while respecting thermal limits. Their unmatched efficiency and performance represent a true game‑changer for the edge market.”

Hailo‑8 M.2 is already in Foxconn’s BOXiedge—a 24‑core miniserver that operates on just 30 W—without any PCB redesign. The low‑power, high‑efficiency design makes it ideal for standalone AI inference nodes across smart‑city, retail, industrial, and medical use cases.

Gene Liu, VP of Foxconn’s semiconductor subgroup, noted: “Integrating Hailo’s M.2 AI module into BOXiedge is transforming our next‑generation edge platforms, enabling us to deliver innovative, efficient, and competitive solutions to the electronics market. Hailo’s M.2 and Mini PCIe modules, powered by the Hailo‑8 chip, will let fast‑growing industries adopt advanced AI swiftly, ushering in a new era of high‑performance, low‑power, smarter edge devices.”