CSA1-N8S1684X AI Computing Power Server

CSA1-N8S1684X AI Computing Power 1U Server

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CSA1-N8S1684X AI Computing Power Server
  • CSA1-N8S1684X AI Computing Power Server
  • CSA1-N8S1684X AI Computing Power Server
  • CSA1-N8S1684X AI Computing Power Server
CSA1-N8S1684X AI Computing Power 1U Server

CSA1-N8S1684X AI Computing Power 1U Server

$0.00
$0.00 $1,999.00
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1U AI server with 8x BM1684X modules delivering up to 256 TOPS for private large-model deployment.

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CSA1-N8S1684X AI Server

CSA1-N8S1684X is a 1U AI computing cluster configurable with up to eight BM1684X compute modules. Each module delivers up to 32 TOPS INT8 performance, providing up to 256 TOPS for AI inference, video analytics, and private model deployment. Dual 10GbE SFP+ and dual Gigabit RJ45 ports support high-bandwidth networking, while a hot-swappable SATA 3.0 drive bay enables expandable local storage.

Private Deployment

Supports private deployment of mainstream large language models (such as Gemma, Llama, Qwen, etc.), vision large 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 (CNN, RNN, LSTM) and mainstream deep learning frameworks (TensorFlow, PyTorch, PaddlePaddle, ONNX), with additional capabilities for custom operator development and Docker containerization.

Video AI Processing Capability

Capable of AI processing for 256 concurrent video streams, featuring robust multi-tasking performance. Actual throughput depends on the core board and AI model, enabling diverse applications in intelligent security and edge computing.

3.5-inch SATA 3.0 HDD/SSD

Configured with one 3.5-inch (or 2.5-inch) drive bay that supports SATA 3.0 HDD/SSD expansion, the device can be easily scaled to terabyte-level capacity. It supports hot-swapping for fast drive replacement, meeting the one-stop deployment requirements for file management, data backup, video surveillance, and other applications.

Dual 10-Gigabit SFP+ ports

Featuring dual 10-Gigabit SFP+ and dual Gigabit Ethernet ports, it delivers the high-speed, stable connectivity required for high-bandwidth application scenarios.

Standard 1U Rack 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 256 TOPS Distributed AI Computing

Up to 256 TOPS Distributed AI Computing

CSA1-N8S1684X features eight distributed computing nodes, configurable with either Sophon BM1684X or BM1684 chips. Each node delivers up to 32 TOPS or 17.6 TOPS of computing power, respectively. The number of nodes is also customizable (up to eight), providing robust computational support for AI and deep learning applications.

Application Scenarios

Widely applicable to edge computing, private deployment of large models, smart transportation, Intelligent security, smart healthcare, smart industry and other products and fields.

Edge Computing
Edge Computing
Private Deployment of Large Models
Private Deployment of Large Models
Smart Transportation
Smart Transportation
Smart Healthcare
Smart Healthcare
Intelligent Security
Intelligent Security
Smart Industry
Smart Industry

Interfaces

Interfaces

Specifications

CSA1-N8S1684X
Technical Specifications Server form

1U rack-mounted computing power server
Architecture

ARM architecture
Number of nodes

8 distributed computing nodes + 1 control node
Compute nodes

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

Octa-core 64-bit processor RK3588S, main frequency up to 2.4GHz, the highest computing power is 6TOPS
AI computing power

256TOPS (32T × 8, INT8)
Fan module

6 high-speed cooling fans
Basic Specifications Video encoding
H.264: 3×4K@25fps, 12×1080P@25fps
Video decoding

H.264: 8×4K@25fps, 32×1080P@25fps
RAM

16GB LPDDR4 × 8 (Number of Compute Nodes)
Storage

64GB eMMC × 8 (64GB/128GB Optional)
Storage expansion

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

Normal: 300W, Max: 430W
Dimension

490.0mm × 417.3mm × 44.4mm
Environment

Operating Temperature: 0ºC ~ 42ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 20% ~ 80%RH (non-condensing)
Physical Specifications 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: 6.7kg, total weight with packaging: 8.9kg
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

BM1684X: 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.
AI Painting

BM1684X: 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
Interface Specifications Internet

2 × 10G Ethernet (SFP+), 2 × Gigabit Ethernet (RJ45, 1 management network port, 1 ordinary network port)
Video output

1 × HDMI2.0 (Maximum resolution 1080P, main processor core board display)
USB

2 × USB3.0 HOST, 1 × Type-C (USB3.0 OTG, processor core board debugging)
Other interfaces

1 × SIM Card, 2 × 4G antenna

Customization

Firefly team provides hardware, software, turnkey and OEM/ODM customization services.

Hardware Solution Software Solution Turnkey Solution OEM/ODM Solution

Firefly is dedicated to delivering hardware-software-integrated intelligent solutions across diverse industries. Firefly is dedicated to delivering hardware-software-integrated intelligent solutions across diverse industries.

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