Product positioning: Plug and play edge computing power, zero threshold rapid deployment, an integrated computing solution specially designed for edge scenarios, sinking AI computing power to business sites, achieving end-to-end intelligence, without the need for professional computer rooms and operation teams, and quickly landing AI applications.

core strengths

Full stack integration:

Adopting a deep integration design of hardware, software, and algorithms, CPU、GPU、 The storage, operating system, AI framework and drive environment are all pre integrated, and the complete computing unit is delivered in a one-stop manner, without the need to purchase additional accessories, debug environment, and configuration compatibility, so that the full edge computing capability can be truly achieved out of the box.

Ready to use minimalist deployment:

Pre installed professional AI operating system, inference engine, and commonly used algorithm libraries at the factory, can start running immediately upon power on, and supports quick access to peripherals such as cameras, sensors, and industrial control devices,

No need for professional IT personnel to conduct on-site debugging, significantly shortening the project implementation cycle and reducing the technical barriers and labor costs for edge AI implementation.

High reliability environment adaptation:

Adopting industrial grade compact body and reinforced structure design, it has dust-proof, vibration proof, anti-interference, and wide temperature operation capabilities. It can work stably in complex environments such as factory production lines without air conditioning, high dust, and strong vibration, outdoor stations, underground computer rooms, and transportation hubs, meeting the long-term uninterrupted operation needs of harsh industrial scenarios.

Full scene edge coverage:

Widely applicable to offices, factory production lines, chain stores, smart parks, transportation stations

Various edge scenarios such as security checkpoints and energy stations can independently complete tasks such as local AI analysis, real-time inference, data preprocessing, and local decision-making. It supports collaboration with the cloud and achieves an integrated computing architecture for cloud edge devices, bringing intelligence closer to the site.

Low power consumption and lightweight operation and maintenance:

Adopting efficient and energy-saving hardware design, the whole machine has low power consumption and can work stably in edge scenarios with limited power supply conditions; Support remote status monitoring, algorithm upgrades, and fault diagnosis, eliminating the need for frequent on-site maintenance, significantly reducing operation and maintenance costs, and improving edge node management efficiency.