T-Chip Group
Innovate intelligent hardware and solutions.
Server products and efficient solutions.
StationPC NAS products and services.

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

Security

Cloud storage

Blockchain

Multi-channel video
encoding and decoding

Financial industry

Specifications

Specifications

CSA1-N8S1684X
Basic Specifications
Product name

Computing power cluster server

Product model

CSA1-N8S1684X

AI computing power

256TOPS (INT8) peak computing power, 128TFLOPS (FP16/BF16) computing power, 16TFLOPS (FP32) high-precision computing power

Encoding/ Decoding

256 channels of H.265/H.264 1080P@25fps, 8 channels of H.265 8K@25fps video decoding 256 channels of 1080P@25fps HD video processing (decoding + AI analysis) 96 channels of H.265/H.264 1080P@25fps video encoding

Number of nodes

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

CPU

Compute node: BM1684X octa-core (A53) 64-bit processor, with a maximum frequency of 2.3 GHz Control node: RK3588S octa-core (4×Cortex-A76+4×Cortex-A55) 64-bit processor, with a maximum frequency of 2.4GHz

RAM

16GB LPDDR4 × 8 (Number of Compute Nodes)

Storage

32GB eMMC × 8 (Number of Compute Nodes), 3.5-inch SATA3.0 hard drive × 1

Power

600W AC power supply (Input: 100V AC ~ 240V AC, 50Hz ~ 60Hz, 4A ~ 8A)

Power consumption

Normal: 190W ~ 220W, Max: 370W ~ 450W

OS

Linux

BMC

Integrated BMC management system, providing a web-based management interface, BMC management system can be redeveloped

Deep learning framework

TensorFlow/PyTorch/PaddlePaddle/Caffe/ONNX/MXNet/DarkNet

Size

Standard 1U rack servers: 490.0mm × 390.0mm × 44.4mm

Weight

Server net weight: 6.7kg, total weight with packaging: 8.9kg

Environment

Operating Temperature: 0ºC ~ 45ºC, Operating Humidity: 20%~80%RH(non-condensing)

Interface Specifications
Internet

10G Ethernet (SFP+) × 2, Gigabit Ethernet × 2 (RJ45, 1 control node port, 1 common network port), 4G LTE/5G network (optional)

Display

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

USB

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

Fan module

6 high-speed cooling fans