CSA1-N8S1684X AI Computing Power Server

Powered by high-computing BM1684X, this server features up to 8 BM1684X computing modules. It delivers exceptional computing power,
enabling up to 256TOPS (INT8) peak computing power, or 128TFLOPS (FP16/BF16) computing power, or 16TFLOPS (FP32) high-precision
computing power, with the power of multi-channel video processing capability. It provides multiple algorithm migration and a one-stop deep
learning development toolkit. With the BMC management system, secondary development is supported

AI processor BM1684X

The BM1684X SoC with AI computing power features an octa-core Cortex-A53 + NPU. Cortex-A53 with a frequency of 2.3G. NPU
delivers 32Tops(INT8) / 16TFLOPS(FP16/BF6) / 2TFLOPS(FP32) computing power. The server provides 16GB LPDDR4 and 128GB
eMMC large storage capacity

Eight computing modules, flexible configuration

The server can be equipped with up to 8 BM1684X computing modules. Users can customize the number and storage configuration of
modules. This flexibility makes it suitable for various scenarios

256TOPS powerful computing power

It supports up to 256TOPS (INT8) peak computing power, or 128TFLOPS (FP16/BF16) computing power, or 16TFLOPS (FP32) high-precision
computing power, which can meet the application requirements for deep-learning model development

Incredible multi-channel video processing capability

The server supports up to 256-channel H.265/H.264 1080p@25fps video decoding, 256-channel H.265/H.264 1080P@25fps HD video processing
(decoding + AI analysis), and 96-channel H.265/H.264 1080p@25fps video encoding

Various algorithms, strong practicality

This server supports algorithm migration for pedestrian/vehicle/object recognition, video structuring, trajectory behavior analysis, etc.,
featuring high security and reliability. So it can be flexibly applied to various product development

Open SDK, one-stop AI development kit

SOPHON SDK (BMNNSDK2), a one-stop deep learning development toolkit, provides a series of software tools, including the underlying driver
environment, compiler, and inference deployment tool. It supports mainstream frameworks: Caffe/TF/PyTorch/Mxnet/Paddle, mainstream network
model and custom operator development, Docker containerization, and rapid deployment of algorithm applications

BMC management system

BMC intelligent management system provides a visualization console interface through HDMI output. It easily achieves real-time monitoring,
software configuration, hardware management, troubleshooting, and system upgrade. Secondary development is also supported

Dual 10GbE meets high bandwidth requirements

Dual 10GbE ports and GbE ports meet business scenarios with high bandwidth requirements. The independent BMC management network
interface separates the management network and the service network, ensuring the security and reliability of network communication

Support SATA3.0 hard disk expansion

A 3.5-inch hard disk bay supports SATA3.0 HDD/SSD hard drive expansion, allowing the device to be easily expanded to a TB storage capacity

Standard 1U rack server

Featuring a standard 1U rack server chassis design with a depth of 576mm, this server perfectly matches a wide range of data center cabinets

A wide range of application scenarios

This server can be widely used in various scenarios, including edge computing, cloud storage, blockchain, multi-channel video
encoding and decoding, and intelligent security

Edge computing


Cloud storage


Multi-channel video
encoding and decoding

Financial industry


Product Name

Computing Power Cluster Server

Product Model


AI Computing Power

256T@INT8 peak computing power, 16TFLOPS@FP32 high-precision computing power


Video decoding: H.264 & H.265: 1080P @11520fps

Video decoding resolution: 8192 * 8192 / 8K / 4K / 1080P / 720P / D1 / CIF

Video encoding: H.264 & H.265: 1080P @600fps

Video encoding resolution: 4K / 1080P / 720P / D1 / CIF

JPEG decoding: JPEG: 4800 images per second @1080P


8 compute nodes (up to 64 ARM cores) + 1 control node


Compute node: BM1684 octa-core (A53*8) 64-bit processor, frequency up to 2.3GHz

Control node: RK3588S octa-core (4×Cortex-A76+4×Cortex-A55) 64-bit processor, frequency up to 2.4GHz


16GB LPDDR4 × 8 (compute nodes)


32GB eMMC × 8 (compute nodes)

3.5-inch SATA3.0 hard disk ×


GE RJ45 Gigabit Ethernet port×2 (a control node port and a common Ethernet port)

SFP 10GE × 2

4G/LTE/5G network (optional)


HDMI 2.0, 4K@60Hz (main processor core board display)


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


5 high-speed fans


300W AC power supply (input: 100V AC~240V AC)




Integrated BMC management system provides management interface based on Web

This system supports secondary development

Deep Learning Framework

TensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / DarkNet


Standard 1U rack-mounted server: 490mm x 390mm x 44.4mm

Operating Temperature

0ºC - 50ºC

Operating Humidity