Premio Inc. now offers Hailo-8 modules for its RCO-6000-CFL AI edge inference computers. The Hailo-8 processor is a compact edge AI accelerator that provides up to 26 tera operations per second (TOPS) and only uses a typical power consumption of fewer than 2.5 watts. Edge AI deployments can integrate a low-power Hailo-8 module with an industrial-grade Premio inference computer to process inference analysis and object detection workloads in real time. See the RCO-6000-CFL datasheet for complete product specifications.
The processor from Hailo is made readily available in three NGFF M.2 modules – B-Key, E-Key, and M-Key for plug-and-play integration. The RCO-6000-CFL computer utilizes the M-Key module to enable maximum throughput with four lanes of PCIe Gen 3 performance. Integration for AI inference is seamless, resulting in a ruggedized computing solution engineered for data-intensive performance directly through the PCIe I/O bus with an off-the-shelf solution.
The RCO-6000-CFL AI edge inference computer is designed from the ground up to deliver holistic inference analysis at the rugged edge. The computing solution offers a range of features and options, incorporating advanced performance on Intel 9th Generation processors, enterprise GPU support, hot-swappable NVMe canisters bricks, and now m.2 acceleration performance with a Hailo-8 AI module. Another key benefit is its industrial-grade fanless design for better reliability in wider temperatures ( -25C to 70C), wider input voltages (9-48VDC), and even resistance to shock (50G) and vibrations (5GRMS).
Premio and Hailo will be showcasing a live AI demo at the ITS World Congress Expo from September 19-22 at the Los Angeles Convention Center. See the demo at both the Premio (#1639) and Hailo (#437) booth locations during the intelligent transportation exhibition.