This autumn MicroSys Electronics in partnership with Hailo specializing in AI processors development for edge devices, launched the embedded platformmiriac® AIP-LX2160A. Specifically, it is a low-power IIoT edge server for Industry 4.0 applications with scalable and high-performance AI inference capabilities. Being able to integrate multiple advanced Hailo-8™ AI accelerators in it, this embedded solution can run deep learning models with performance up to 130 Tera Operations Per Second (TOPS). Additionally, by running performance tests, it was highlighted that it can deliver exceptional AI computing performance including over 6000 Frames Per Second (FPS) on Resnet-50, over 5000 FPS on Mobilenet-V1 SSD and close to 1000 FPS on YOLOv5m.
“Our strategic partnership with Hailo is an important milestone, helping our customers reap the enormous benefits of AI and neural networks,” said Ina Sophia Schindler, Managing Director at MicroSys Electronics. “Hailo’s AI processor allows edge devices to run full-scale deep learning applications more efficiently, effectively, and sustainably while significantly lowering costs. In combination with our NXP processor-based platforms, our customers get one of the most powerful AI solutions that can be developed for edge applications.”
“We are excited to partner with MicroSys, a world-leader in embedded systems,” said Orr Danon, CEO and Co-Founder of Hailo. “This collaboration strengthens our position in the edge computing sector, enabling us to further address the rapidly growing market seeking embedded edge platforms with robust AI capabilities. We look forward to continuing to work with MicroSys to bring unmatched edge processing solutions to a broad range of automotive and industrial automation applications.”
Representative examples of industrial applications that miriac® AIP-LX2160A can be integrated are situational awareness, predictive maintenance analytics, collaborative robotics, video surveillance servers in infrastructures with distributed cameras as well as communication servers for autonomous vehicles in logistics.