MicroSys & Hailo Launch High‑Performance Edge AI Platform for Industrial & Automotive Applications

MicroSys Electronics and AI‑chipmaker Hailo have unveiled the miriac AIP‑LX2160A, an edge‑server grade platform that can host up to five Hailo‑8 AI accelerator modules. The solution delivers high‑performance, scalable inference at the edge, enabling power‑efficient AI for Industry 4.0, automotive, and heavy‑machinery workloads.

Unmatched Performance Powered by NXP QorIQ Layerscape

The platform is built on NXP’s QorIQ Layerscape LX2160A, a high‑throughput processor that, when paired with multiple Hailo‑8 accelerators, reaches up to 130 TOPS. Across standard neural‑network benchmarks, it achieves over 6 000 fps on ResNet‑50, more than 5 000 fps on MobileNet‑V1 SSD, and nearly 1 000 fps on YOLOv5m.

Hailo‑8: A 26‑TOPS, 2.5 W Edge Processor

Winner of the 2021 Edge AI & Vision Alliance “Best AI and Vision Processor” award, the automotive‑grade Hailo‑8 delivers up to 26 TOPS while consuming only 2.5 W. Combined with MicroSys’s Cortex‑based Layerscape boards, the platform offers an efficient AI edge appliance for situational awareness and predictive‑maintenance analytics.

Quotes from Leadership

Ina Sophia Schindler, Managing Director, MicroSys Electronics: "Our partnership with Hailo is a pivotal milestone. Their AI processor enables edge devices to run full‑scale deep‑learning applications more efficiently and sustainably, dramatically reducing costs. Together with our NXP‑based platforms, we provide one of the most powerful AI solutions for edge applications."

Orr Danon, CEO & Co‑Founder, Hailo: "This collaboration solidifies our position in edge computing and lets us serve the rapidly expanding market for embedded platforms with robust AI. We’re excited to keep delivering unmatched edge processing to automotive and industrial automation."

Ready‑to‑Use Starter Kit

The starter kit includes a carrier board, cable set, cooling solution, and full access to MicroSys’s AI toolchain and Hailo’s developer zone. Developers can evaluate and build applications immediately.

Target Markets

Ideal for low‑power IIoT edge servers, predictive‑maintenance in Industry 4.0, collaborative robotics, video‑surveillance in distributed‑camera environments, autonomous‑vehicle communication in logistics and agriculture, heavy‑equipment monitoring, and train edge servers that process multiple GigE vision camera streams for safety and security.