Technology Architecture
From chips and hardware to AI software and real devices
Technology Capabilities
We build complete engineering capability from low-level hardware to intelligent applications, on the foundation of electronic hardware, industrial computing, embedded systems, Linux, industrial software and AI.
Six-Layer Technology Stack
One engineering method, from low-level hardware to intelligent machines.
01 AI Computing
NVIDIA, GPU, DGX, Edge AI, on-site AI inference and compute optimization.
02 Industrial Computing
Industrial PCs, custom compute platforms, cost-optimized platforms, I/O, network, storage, thermal, power.
03 Embedded & Linux
MCU, embedded systems, Linux / Ubuntu, drivers, services, device communication.
04 Software & AI
Application software, AI models, Agents, automation, Python / C/C++ / Web / API.
05 Intelligent Control
Sensors, device communication, EMS, control logic and intelligent decisions.
06 Intelligent Machines
Robots, AMR, autonomous forklifts, smart mobile devices — Future / R&D.
| Tier | Examples | Use cases |
|---|---|---|
| High-Performance AI | DGX / GPU Server | LLMs, Agents, video generation, private enterprise AI |
| High-Performance Edge AI | Jetson / NVIDIA Edge | Vision, robotics, edge inference |
| Industrial Computing | x86 / ARM + GPU/NPU | Industrial AI, vision, device management |
| Cost-Optimized Edge | Low-cost ARM + Ubuntu | Light AI, acquisition, control, device management |
| Real-Time Control | STM32-class MCU | Sensors, motors, thermal, real-time control |
NVIDIA / Ubuntu & Industrial Compute
We select and build the right NVIDIA / GPU compute platform for the AI workload.
Ubuntu is not promoted as a résumé skill tag, but as part of industrial AI systems capability: stable Linux / Ubuntu-based industrial compute and AI runtime covering deployment, service management, networking, device interfaces and AI inference. Without formal partner, certification or authorization proof, we do not claim NVIDIA / Ubuntu official partnership.
Technology Architecture
