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CSB2-N10 AI Server

Up to 1570T Computing Power

· 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

CSB2-N10 AI Server

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

Supports private deployment of mainstream large language models (such as Gemma, Llama, Qwen, etc.), large vision models (such as EfficientVIT, SAM, TAM, etc.), image generation models (such as Flux, Stable Diffusion, etc.), and other large-scale models.

Deep Learning Frameworks

Supports traditional network architectures such as CNN, RNN, and LSTM, along with multiple deep learning frameworks including TensorFlow, PyTorch, PaddlePaddle, and ONNX. It also enables custom operator development and Docker containerization management.

196-channel AI video processing

Supports AI processing for 196 video streams (specific processing performance may vary depending on the specifications of the core board and the type of AI model running). It features powerful multi-task concurrent processing capabilities and can be widely applied in AI application scenarios such as intelligent security and edge computing.

6 pcs of 3.5-inch SATA 3.0 HDD/SSD

Features 6 pcs of 3.5-inch (or 2.5-inch) drive bay supporting SATA 3.0 HDD/SSD expansion, enabling seamless capacity scaling to terabyte-level storage. With hot-swappable capability for rapid drive replacement, it fulfills integrated deployment requirements for file management, data backup, video surveillance, and similar applications.

Dual 10GbE SFP+ & Gigabit Ethernet

Equipped with dual 10 Gigabit SFP+ interfaces and dual 1000Mbps Ethernet ports, this configuration delivers high-speed, stable network connectivity to meet diverse high-bandwidth application requirements. An independent BMC management network interface separates management and service traffic, ensuring secure and reliable network communication.

Standard 2U Rack Server Size

Features a standard 2U rack-mounted chassis design with flexible deployment capabilities, fully compatible with most data center cabinet types. The robust construction incorporates 4 high-efficiency cooling fans to ensure 7×24 continuous stable operation.

aBMC Management System

Equipped with an advanced aBMC intelligent management system that enables real-time monitoring, software/hardware configuration, troubleshooting, anomaly alerts, system upgrades, and remote maintenance. Supports secondary development for customized requirements.

Efficient and Low-Cost

Server highly integrates computing units, storage, universal serial bus, network controller, power controller, and sensors into one, providing SDK all-in-one deep learning development toolkit, underlying driver environment, compiler, inference deployment tool, and a series of software tools to reduce users' procurement, development, and operation costs.
Up to 1570 TOPS Computing Power

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.

Application Scenarios

Widely applicable to products and fields such as edge computing, private deployment of large models, smart cities, smart healthcare, smart industry, and intelligent security.

Edge Computing
Edge Computing
Private Deployment of Large Models
Private Deployment of Large Models
Smart City
Smart City
Smart Healthcare
Smart Healthcare
Smart Industry
Smart Industry
Intelligent Security
Intelligent Security
Interfaces
Specifications

CSB2-N10S1684X

CSB2-N10R3588S

CSB2-N10NOrinNano

CSB2-N10NOrinNX

Technical Specifications

Launch Status

Launched

Launching in Q2 2026

Server form

2U 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 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

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

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

Control nodes

Octa-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS

AI computing power

320TOPS (32T × 10, INT8)

60TOPS (6T × 10, INT8)

670TOPS (67T × 10, INT8)

1570TOPS (157T × 10, INT8)

RAM

8GB LPDDR4 × 10 (8/12/16GB)

16GB LPDDR5 × 10 (4/8/16/32GB)

8GB LPDDR5 × 10

16GB LPDDR5 × 10

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)

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)

PCIe expansion slot

Supports 1 × half-height half-length PCIe 2.0 x4 standard slot (signal rate: PCIe 2.0 x1)

Power

Single power supply (default) / Redundant dual power supplies optional

Fan module

4 high-speed cooling fans

Physical Specifications

Size

487.9mm(L) × 530.59mm(W) × 88.8mm(H)

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

Full weight

Server net weight: 11.5kg, total weight with packaging: 13.7kg

Environment

Operating Temperature: 0ºC ~ 42ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 5% ~ 80%RH(non-condensing)

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

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.

AI Painting

BM1684X/Jetson Orin Nano/Jetson Orin NX: Support the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation models

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)

Display

1 × VGA (maximum resolution 1080P, BMC management display)

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.)

Button

1 × Reset, 1 × UID, 1 × Power

Customization

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.