· Private deployment of AI models
· Multiple deep learning frameworks
· Up to 196-channel AI video processing
· 6 pcs of 3.5-inch SATA3.0 HDD/SSD
· Dual 10 Gigabit SFP+ ports & Gigabit Ethernet
· Standard 2U rack server size
· Includes aBMC management system
· Highly integrated server design
Gemma
Llama
Qwen
Stable Diffusion
Features 10 built-in distributed computing nodes, with each node delivering computing power ranging from 6-157 TOPS. It supports multiple platforms such as Rockchip, Sophgo, and NVIDIA. CSB2-N10 servers enables private deployment of mainstream AI models and It equipped with two 10-gigabit network ports and a gigabit network port, while also supporting expandable 6 pcs of SATA 3.0 hard drives.
Private Deployment
Deep Learning Frameworks
196-channel AI video processing
6 pcs of 3.5-inch SATA 3.0 HDD/SSD
Dual 10GbE SFP+ & Gigabit Ethernet
Standard 2U Rack Server Size
aBMC Management System
Efficient and Low-Cost
CSB2-N10 Integrates 10 distributed computing nodes with comprehensive processor support, including Rockchip, Sophgo, and NVIDIA platforms. Each node delivers 6-157 TOPS of computing power, with configurable node quantities to provide robust acceleration for AI and deep learning workloads.
Widely applicable to products and fields such as edge computing, private deployment of large models, smart cities, smart healthcare, smart industry, and intelligent security.

CSB2-N10S1684X |
CSB2-N10R3588S |
CSB2-N10NOrinNano |
CSB2-N10NOrinNX |
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Technical Specifications |
Launch Status |
Launched |
Launching in Q2 2026 |
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Server form |
2U rack-mounted computing power server |
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Architecture |
ARM architecture |
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Number of nodes |
10 distributed computing nodes + 1 control node |
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Compute nodes |
Octa-core 64-bit processor BM1684X, up to 2.3GHz |
Octa-core 64-bit processor RK3588S, up to 2.4GHz |
Hexa-core 64-bit processor NVIDIA Jetson Orin Nano, main frequency up to 1.7GHz |
Octa-core 64-bit processor NVIDIA Jetson Orin NX, main frequency up to 2.0GHz |
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Video encoding |
H.264: 3×4K@25fps, 12×1080P@25fps |
H.264: 1×8K@30fps, 16×1080P@30fps |
1080P@30fps, supported by 1-2 CPU cores |
1×4K@60fps, 3×4K@30fps 6×1080P@60fps, 12×1080P@30fps |
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Video decoding |
H.264: 8×4K@25fps, 32×1080P@25fps 1×8K@25fps |
8K@60fps/4K@120fps (H.265/VP9/AVS2) 8K@30fps (H.264/AVC/MVC) 30×1080P@30fps (H.265& H.264) |
1×4K@60fps, 2×4K@30fps, 5×1080P@60fps, 11×1080P@30fps |
1×8K@30fps, 2×4K@60fps, 4×4K@30fps, 9×1080P@60fps, 18×1080P@30fps |
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Control nodes |
Octa-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS |
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AI computing power |
320TOPS (32T × 10, INT8) |
60TOPS (6T × 10, INT8) |
670TOPS (67T × 10, INT8) |
1570TOPS (157T × 10, INT8) |
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RAM |
8GB LPDDR4 × 10 (8/12/16GB) |
16GB LPDDR5 × 10 (4/8/16/32GB) |
8GB LPDDR5 × 10 |
16GB LPDDR5 × 10 |
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Storage |
32GB eMMC × 10 (32/64/128GB) |
256GB eMMC × 10 (16/32/64/128/256GB) |
256GB (2242 PCIe NVMe SSD, the server is internally assembled) |
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Storage expansion |
3.5-inch/2.5-inch SATA3.0 SSD hard drive slot × 6 (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) |
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PCIe expansion slot |
Supports 1 × half-height half-length PCIe 2.0 x4 standard slot (signal rate: PCIe 2.0 x1) |
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Power |
Single power supply (default) / Redundant dual power supplies optional |
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Fan module |
4 high-speed cooling fans |
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Physical Specifications |
Size |
487.9mm(L) × 530.59mm(W) × 88.8mm(H) |
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Installation requirements |
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 |
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Full weight |
Server net weight: 11.5kg, total weight with packaging: 13.7kg |
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Environment |
Operating Temperature: 0ºC ~ 42ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 5% ~ 80%RH(non-condensing) |
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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 |
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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 |
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Visual large model |
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. |
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AI Painting |
BM1684X/Jetson Orin Nano/Jetson Orin NX: Support the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation models |
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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 |
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Interface Specifications |
Internet |
2 × 10G Ethernet (SFP+), 2 × Gigabit Ethernet (RJ45), 1 × Gigabit Ethernet (RJ45, MGMT is used as BMC management network) |
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Console |
1 × Console (RJ45, BMC debug serial port, baud rate 115200) |
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Display |
1 × VGA (maximum resolution 1080P, BMC management display) |
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USB |
2 × USB3.0 (Lower USB port is USB3.0 OTG, supporting BMC upgrade via USB flash drive) 1 × USB2.0 (Internal USB2.0 port, maintains appearance integrity and enables expansion of internal dongles, Bluetooth, Wi-Fi modules, etc.) |
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Button |
1 × Reset, 1 × UID, 1 × Power |
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Firefly team, with over 20 years of experience in product design, research and development, and production, provides you with services such as hardware, software, complete machine customization, and OEM server.