AIBOX-1688 AI Edge Computing Embedded PC

SOPHON BM1688

Octa-core ARM Cortex-A53 @ 1.6GHz

Built-in SOPHGO neural network acceleration engine TPU, 32T@INT4 peak computing power, 16T@INT8 peak computing power, 4T@FP16/BF16computing power, 0.5T@FP32 computing power

• Video decoding: H.264 / H.265 decoding (Max performance: 1920 * 1080@480FPS or 3840 * 2160 @120FPS)
• Video encoding: H.264 / H.265 encoding (Max performance: 1920 * 1080@300FPS or 3840 * 2160 @75 FPS)
• Image codec: JPEG/MJPEG Baseline codec (JPEG codec with a maximum resolution of 1080P@480 FPS)

8GB LPDDR4 (4GB/8GB/16GB optional)

32GB eMMC (32GB/64GB/128GB/256GB optional)

1 x M.2 (Expandable PCIe NVMe SSD(default support)/SATA SSD(supported after software update), supports 2242/2260/2280) (inside the device), 1 x TF Card

DC 12V/3A (DC 5.5 x 2.1mm)

Normal: 7.2W(12V/600mA)

Max: 14.4W(12V/1200mA)

1 x HDMI2.0（4K@60fps)

Linux

• The private deployment of ultra-large-scale parameter models under the Transformer architecture, including large language models such as Gemma-2B, LlaMa2-7B, ChatGLM3-6B, Qwen1.5-1.8B.
• Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks, including TensorFlow, PyTorch, MXNet, PaddlePaddle, and ONNX, as well as custom operator development
• Docker container management technology

93.4 mm × 93.4 mm × 50 mm

≈ 500g

• Operating Temperature: -20℃～60℃
• Storage Temperature: -20℃～70℃
• Storage Humidity: 10%～90%RH (non-condensing)

2 x 1000Mbps Ethernet

2 x USB3.0 (Current Limit: 1A)

• 1 x Type-C (USB 2.0 device mode only)
• 1 x Console (Debug serial)
• 1 x Power button
• 1 x Recovery