The CSB1-N10S1688 is a compact yet powerful cluster server built for intensive computing tasks such as AI training, deep learning, cloud computing, and big data analytics.
Key Features:
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10-Node Cluster Design: Each node is equipped with a high-performance processor, ensuring parallel processing power for demanding applications.
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High-Speed Networking: Dual Gigabit Ethernet ports provide fast data transfer and low-latency communication between nodes.
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Expandable GPU/Accelerator Support: PCIe slots allow for additional GPUs, FPGAs, or AI accelerators to boost computational performance.
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Flexible Storage Options: Supports NVMe SSDs and high-capacity HDDs for fast data access and large-scale storage needs.
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Optimized Thermal Design: Advanced cooling mechanisms ensure stable operation even under heavy workloads.
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Scalable & Space-Efficient: The compact form factor makes it ideal for data centers, research labs, and edge computing deployments.
Ideal for:
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AI & machine learning
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Cloud computing & virtualization
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High-performance computing (HPC)
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Big data processing & analytics
With its robust architecture and high scalability, the CSB1-N10S1688 delivers exceptional efficiency for next-generation computing challenges.
Category | Specification |
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Server Form | 1U rack-mounted computing power server |
Framework | ARM architecture |
Number of Nodes | 10 distributed computing nodes (up to 80 ARM cores) + 1 control node |
Compute Nodes | Octa-core 64-bit processor NVIDIA Jetson OrinNX, main frequency up to 2.0GHz |
Control Nodes | Octa-core 64-bit processor RK3588, main frequency up to 2.4GHz, highest computing power is 6TOPS |
AI Computing Power | 1570 TOPS (INT8) |
RAM | 16GB LPDDR5 × 10 (number of compute nodes) |
Storage | 256GB (2242 PCIe NVMe SSD, internally assembled) |
Storage Expansion | 3.5-inch/2.5-inch SATA3.0/SSD hard drive slot × 1 (BMC can directly operate the hard drive, computing child nodes can indirectly access via network sharing through the BMC method) |
Power | 550W AC power supply (Input: 90V AC–264V AC, 47–63 Hz, 8A), hot-swappable not supported |
Fan Module | 6 high-speed cooling fans |
Size | 420.0mm(L) × 421.3mm(W) × 44.4mm(H) |
Installation Requirements | IEC 297 Universal Cabinet Installation: 19 inches wide, 800 mm deep and above Retractable slideway installation: front-to-rear hole distance in cabinet 543.5mm–848.5mm |
Full Weight | Server net weight: 8.1kg, total weight with packaging: 10.3kg |
Environment | Operating Temperature: 0℃ ~ 45℃ Storage Temperature: -40℃ ~ 60℃ Operating Humidity: 5%–90% RH (non-condensing) |
BMC | Integrated web-based management interface with support for Redfish, VNC, NTP, advanced monitoring, and virtual media; BMC can be redeveloped |
Large Model Support | Supports ROS robot model; Ollama local large model deployment; private deployment of ultra-large language models under Transformer architecture (e.g., LLaMa3, Phi-3 Mini); supports large visual models such as EfficientViT, NanoOWL, NanoSAM, SAM, TAM; supports ComfyUI for restoration, style transfer, synthesis; supports Flux, Stable Diffusion, Stable Diffusion XL for AIGC image generation |
Deep Learning | Supports multiple frameworks accelerated by cuDNN: PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, Caffe2, Chainer, Keras; supports custom operator development Docker containerization technology supported for easy deployment |
AI Software Stack | NVIDIA Jetson Orin series platform with unified memory and comprehensive software stack for latest generative AI applications; supports Transformer models with superior MLPerf performance |
Internet | 2 × 10G Ethernet (SFP+), 2 × Gigabit Ethernet (RJ45), 1 × Gigabit Ethernet (RJ45, MGNT for BMC network) |
Console | 1 × Console (RJ45, BMC debug serial port, baud rate 115200) |
Display | 1 × VGA (maximum resolution 1080p, BMC management display) |
USB | 2 × USB 3.0 (lower USB is USB 3.0 OTG; BMC can be upgraded using USB flash drive) |
Button | 1 × Reset, 1 × UID, 1 × Power button |
Other Interfaces | 1 × RS232 (DB9, 115200 baud), 1 × RS485 (DB9, 115200 baud) |