AIBOX-1684X embedded mini PC supports private deployment of mainstream large language models, with a computing power of up to 32TOPS. It also supports traditional network architectures such as CNN, RNN, and LSTM, deep learning architectures such as TensorF NNX and Darknet, and custom operator development. It supports Docker container management technology. It is suitable for scenarios such as intelligent monitoring, AI teaching, computing power services, edge computing, private deployment of large models, data security, and privacy protection.
Comprehensive Artificial Intelligence Privatization Deployment
- Large language models: Supports private deployment of ultra-large parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, Qwen, and other large language models.
- Large visual models: Supports private deployment of large visual models such as ViT, Grounding DIN0, and SAM.
- AI painting: Supports private deployment of the Stable Diffusion V1.5 image generation model in the AIGC field.
- Traditional network architecture: Supports traditional network architectures such as CNN, RNN, and LSTM.
- Deep learning framework: Supports multiple deep learning frameworks, including TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet, and supports custom operator development.
- Docker containerization: Supports Docker containerization management technology, which allows for easy image deployment.
32 TOPS Ultra-high Computing Power AI Processor
Equipped with SOPHON AI processor BM1684X, it has eight-core ARM Cortex-A53, the highest main frequency is 2.3GHz, and it adopts 12nm process technology; it has up to 32 Tops (INT8) computing power, or 16 TFLOPS (FP16/BF16) computing power, or 2 Tops (FP32) high-precision computing power, supports mainstream programming frameworks, and can be widely used in artificial intelligence reasoning in cloud and edge computing applications.
Multi-channel Video AI Processing Performance
It supports up to 32-channel 1080P H.264/H.265 video decoding and 32-channel 1080P HD video full-process processing (decoding + AI analysis), meeting the needs of various AI application scenarios such as video stream face detection and license plate recognition.
Powerful Network Communication Capabilities
Supports dual-channel 1000Mbps Ethernet, a high-speed and stable network communication method to meet the needs of different application scenarios.
Efficient Heat Dissipation, Exquisite Workmanship
Equipped with an industrial-grade full-metal shell, aluminum alloy structure for heat conduction, and a banner grille design on the side of the top cover shell to ensure external air circulation, efficient heat dissipation, and guarantee computing performance and stability under high-temperature operation. The top cover adopts a porous hexagonal design, which is simple and beautiful. The whole machine is compact and exquisite, and runs stably, meeting various industrial-grade application requirements.
Complete Development Information
Provide supporting source code, tutorials, technical information, and development tools to make development easier and more convenient.
Wide Range Of Application Scenarios
It is widely used in scenarios such as intelligent monitoring, AI teaching, computing services, edge computing, private deployment of large models, data security and privacy protection, etc.
