Technical realization options for platform-wide coverage
ARGO realizes true cross-platform support through a triple technical solution: for ordinary users, it provides native client installation packages for Windows/macOS/Linux (including Apple Silicon and x86 architecture); developers can choose Docker containerized deployment; and advanced users can also support CPU/GPU hybrid computing environment. In terms of technical details, the Windows side is packaged with the Electron framework, macOS achieves architectural adaptation through Universal Binary, and the Linux version optimizes the permissions management system. Particularly noteworthy is the GPU acceleration scheme: when an NVIDIA graphics card is detected, the system automatically enables the CUDA core for tensor computing, and the inference speed can be increased by 5-8 times compared to the pure CPU scheme when dealing with large models with more than 7 billion parameters. This flexibility allows ARGO to run on a wide range of devices from Raspberry Pi to workstations.
This answer comes from the articleARGO: AI Intelligent Body Client for Deployment and Use on PCsThe