The Firefly computer product series includes three series of products: embedded PC (EC), IoT industrial gateway (iHC), and AIBOX edge computing embedded computer. Our industrial computers and other embedded PC products are equipped with Rockchip, SOPHON, and NVIDIA Jetson Orin series System on Chip, such as Rockchip RK3588, SOPHON BM1684X, and NVIDIA Jetson Orin Nano and NX, which can provide powerful computing power for your applications.
-
Embedded PC (EC): Firefly's Embedded Computer series is a mini PC designed for specific applications, especially industrial applications. Compared with traditional computers, it is smaller in size, more stable, and consumes less power. It can be widely used in edge computing servers, industrial computers, smart network cameras, AIOT, smart security, and other types of products and fields.
-
Industrial IoT Gateway (iHC): It supports 5G/4G mobile networks, dual-channel Gigabit Ethernet, and other network communication methods, with stable communication, faster speed, and adaptability to various scene requirements. It supports GPS positioning and can locate, track, trace, and calibrate time in real time. It can be applied to industrial routing, IOT, smart meters, smart cities, smart factories, power collection, industrial automation, remote monitoring, and other industrial fields.
-
AIBOX Series: It supports the private deployment of large language models, supports multichannel video AI processing, and has an industrial-grade full metal shell and efficient heat dissipation. It is widely used in scenarios such as intelligent monitoring, AI teaching, computing power services, edge computing, private deployment of large models, data security and privacy protection, etc. In addition, the AIBOX-OrinNX and AIBOX-OrinNano, equipped with the NVIDIA Jetson Orin system on chip, can enable any generative AI model powered by the Transformer architecture to perform fast reasoning and achieve excellent edge performance on MLPerf. With NVIDIA JetPac, Isaac ROS, and reference AI workflows, advanced technologies can be integrated into products without relying on expensive internal AI resources.
