CSA1-N8S1684 AI Server

1U rack-mounted computing power server

8 distributed computing nodes + 1 control node

Octa-core 64-bit processor BM1684, up to 2.3GHz

Octa-core 64-bit processor RK3588S, main frequency up to 2.4GHz, the highest computing power is 6TOPS

140.8TOPS (17.6T × 8, INT8)

6 high-speed cooling fans

IEC 297 Universal Cabinet Installation: 19 inches wide and 800 mm deep and above
Retractable slideway installation: The distance between the front and rear holes of the cabinet is 543.5mm~848.5mm

The BMC management system is integrated with the web-based management interface, supporting Redfish, VNC, NTP, monitoring advanced and virtual media, and the BMC management system can be redeveloped

All models: Support traditional network architectures such as CNN, RNN, LSTM, and support various deep learning frameworks such as TensorFlow, PyTorch, PaddlePaddle, ONNX, and Caffe. Support custom operator development and Docker containerization management technology

H.264: 32×1080P@30fps

12GB LPDDR4/LPDDR4X × 8 (12GB/16GB Optional)

32GB eMMC × 8 (32GB/256GB Optional)

3.5-inch/2.5-inch SATA3.0 SSD hard drive slot × 1 (Supports hot swapping; BMC can directly operate the hard drive, and computing child nodes can indirectly access the hard drive through the network sharing method provided by BMC)

Normal: 170W, Max: 350W

1 × HDMI2.0 (Maximum resolution 1080P, main processor core board display)

490.0mm × 417.3mm × 44.4mm

Operating Temperature: 0ºC ~ 42ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 20% ~ 80%RH (non-condensing)

2 × 10G Ethernet (SFP+), 2 × Gigabit Ethernet (RJ45, 1 management network port, 1 ordinary network port)

2 × USB3.0 HOST, 1 × Type-C (USB3.0 OTG, processor core board debugging)