Specifications

CSB1-N10R3576
Technical Specifications	Server form	1U rack-mounted computing power server
	Architecture	ARM architecture
	Number of nodes	10 distributed computing nodes + 1 control node
	Compute nodes	Octa-core 64-bit processor RK3576, main frequency up to 2.2GHz
	Control nodes	Octa-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS
	AI computing power	60TOPS (6T × 10, INT8)
	Fan module	6 high-speed cooling fans
Basic Specifications	SOC	RK3576
	CPU	Octa-core 64-bit 2.2GHz
	NPU	60TOPS
	Video decoding	1×4K@60fps (H.264/AVC) 1×4K@120fps (H.265/HEVC/VP9/AVS2/AV1)
	RAM	8GB LPDDR4/LPDDR5 × 10 (4/8/16GB)
	Storage	64GB eMMC × 10 (16/32/64/128/256GB)
	Power	550W AC power supply (Input: 90V AC~264V AC, 47 Hz~63 Hz, 8A) (Hot swappable not supported)
	Dimension	494.0mm × 440.5mm × 44.4mm
	Environment	Operating Temperature: 0ºC ~ 45ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 5% ~ 80%RH(non-condensing)
Physical Specifications	Full weight	Server net weight: 8.1kg, total weight with packaging: 10.3kg
Software Specifications	BMC	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
	Large language models	All models support the privatization of ultra-large-scale parametric models under the Transformer architecture, such as Deepseek-R1 series, Gemma series, Llama series, ChatGLM series, Qwen series, Phi series and other large language models
	Vision large models	BM1684X: Support the privatization deployment of large visual models such as ViT, Grounding DINO, SAM, etc. Jetson Orin Nano/Jetson Orin NX: Supports the privatization deployment of large vision models such as EfficientVIT, NanoOWL, NanoSAM, SAM, TAM, etc.
	Deep learning	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 Jetson Orin Nano/Jetson Orin NX: Supports Ollama local large model deployment framework and ComfyUI graphical deployment framework
Interface Specifications	Internet	2 × 10G Ethernet (SFP+), 2 × Gigabit Ethernet (RJ45), 1 × Gigabit Ethernet (RJ45, MGMT is used as BMC management network)
	Console	1 × Console (RJ45, BMC debug serial port, baud rate 115200)
	Video output	1 × VGA (maximum resolution 1080P, BMC management display)
	USB	2 × USB3.0 (The lower USB is USB3.0 OTG, and the BMC can be upgraded OTG by using a USB flash drive)
	Button	1 × Reset, 1 × UID, 1 × Power
	Other interfaces	1 × RS232 (DB9, baud rate 115200),1 × RS485 (DB9, baud rate 115200)