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CSB1-N10 AI Server

Up to 1570 TOPS

· Private deployment of AI models  

· Multiple deep learning frameworks  

· Up to 196-channel AI video processing 

· Supports 3.5-inch SATA3.0 HDD/SSD  

· Dual 10 Gigabit SFP+ ports and Gigabit Ethernet  

· Standard 1U rack server size

· Includes aBMC management system

· Highly integrated server design

Llama

Qwen

Stable Diffusion

CSB1-N10 AI Server

Features 10 built-in distributed computing nodes, with each node delivering computing power ranging from 6T-157T. It supports multiple platforms such as Rockchip, Sophgo, and NVIDIA. CSB1-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 SATA 3.0 hard drives.

Private Deployment

Supports private deployment of mainstream large language models (Gemma, Llama, Qwen, etc.), large vision models (EfficientVIT, SAM, TAM, etc.), image generation models (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.

Processing for 196 Video Streams

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.

3.5-inch SATA 3.0 HDD/SSD

Features a 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+

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 1U Server Size

Features a standard 1U rack-mounted chassis design with flexible deployment capabilities, fully compatible with most data center cabinet types. The robust construction incorporates 6 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 1570T Computing Power

CSB1-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.

Interfaces
Specifications

CSB1-N10R3588S

CSB1-N10S1684X

CSB1-N10NOrinNano

CSB1-N10NOrinNX

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 RK3588S, main frequency up to 2.4GHz

Octa-core 64-bit processor BM1684X, up to 2.3GHz

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: 1×8K@30fps, 16×1080P@30fps

H.264: 3×4K@25fps, 12×1080P@25fps

1080P@30fps, supported by 1-2 CPU cores

1×4K@60fps, 3×4K@30fps 6×1080P@60fps, 12×1080P@30fps

Video decoding

8K@60fps/4K@120fps (VP9/AVS2) 8K@30fps (H.264/AVC/MVC) 30×1080P@30fps (H.264)

H.264: 8×4K@25fps, 32×1080P@25fps 1×8K@25fps

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

60TOPS (6T × 10, INT8)

320TOPS (32T × 10, INT8)

670TOPS (67T × 10, INT8)

1570TOPS (157T × 10, INT8)

RAM

16GB LPDDR5 × 10 (4/8/16/32GB)

8GB LPDDR4 × 10 (8/12/16GB)

8GB LPDDR5 × 10

16GB LPDDR5 × 10

Storage

256GB eMMC × 10 (16/32/64/128/256GB)

32GB eMMC × 10 (32/64/128GB)

256GB (2242 PCIe NVMe SSD, the server is internally assembled)

Storage Expansion

3.5-inch/2.5-inch SATA3.0/SSD hard drive slot × 1 (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)

Power

550W AC power supply (Input: 90V AC~264V AC, 47 Hz~63 Hz, 8A) (Hot swappable not supported)

Fan module

6 high-speed cooling fans

Physical Specifications

Size

494.0mm(L) × 440.5mm(W) × 44.4mm(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: 8.1kg, total weight with packaging: 10.3kg

Environment

Operating Temperature: 0ºC ~ 45ºC, 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 (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)

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.