Empower embedded edge applications with state-of-the-art AI inference capabilities.
Aetina single board computer with Rockchip RK3588
Supported by Aetina RK3588 Industrial Motherboard designed for diverse applications where energy efficient Edge AI in a small form factor is critical.
Everything you need to get started in a single box pre-integrated Metis M.2 card and pre-installed Voyager SDK.
A simplified Edge AI inference - run a preloaded neural network in under ten minutes and leverage industry-standard API combined with built-in evaluation tools.
A growing Model Zoo with a broad coverage of computer vision networks for object detection, image classification, pose estimation and segmentation.
Metis | 1x Metis M.2 card with 1 GB memory |
CPU | 8-core 64-bit ARM (4x Cortex-A76 and 4x Cortex-A55), frequency up to 2.4 GHz |
GPU | ARM Mali-G610 MP4 quad-core GPU |
Memory | Onboard LPDDR4 8 GB |
Storage | 32 GB eMMC |
Operating System | Linux: Ubuntu Desktop 20.04 with Voyager SDK in a Docker platform |
Ethernet/USB/COM | 1x HDMI, 2x GbE, 2x USB, 2x M.2 Key |
Power | DC-in 12 V / DC Jack 4-pin |
Temperature | 0°C~70°C |