Turnkey development platforms for edge AI inference. From Hailo neural processors to Rockchip NPU-powered SBCs — deploy computer vision and sensor fusion at the edge without cloud dependency.
26 TOPS INT8 at 3.5W. M.2 plug-and-play AI accelerator for x86 and ARM edge platforms.
6 TOPS NPU, 8-core ARM CPU, 8K video. Low-power edge AI for smart IoT and access control.
Core Ultra 7 with integrated NPU (11 TOPS) and Intel Arc GPU. Pre-installed OpenVINO toolkit.
Modular dev kit with core compute module, I/O base board and daughter cards, running the open RISC-V Coral NPU on Torq Edge AI.
Starter kit around the Hailo-10H M.2 module: 40 TOPS INT4, 4/8 GB LPDDR4, 2.5 W, running LLMs and VLMs at the edge.
Four MX3-based form factors — M.2 2280 module, x8 PCIe card, Raspberry Pi 5 HAT+ and USB-C — from 25 to 100 TFLOPS at 1 W to 50 W.
Complete list of Edge AI Dev Kits — click any model for full specifications, pricing, and official manufacturer part numbers (MPN).