Micro Server SE8-288
Datacenter
Micro Server SE8-288

SOPHON micro server SE8 288-EA6-72 is a new edge computing product with high-performance, low-power consumption and small size. Equipped with the fourth-generation tensor processor BM1684X launched by SOPHGO, SE8 288-EA6-72 supports INT8/FP16/BF16/FP32 and mixed-precision inference. It can process up to 288 channels of HD video analysis at the same time. With 8-core/16-thread X86 CPU@2.8GHz as the host processor and web storage expansion supported, it is widely used in high concurrency scenarios such as public security, transportation, industrial parks, producing and warehousing, empowering thousands of industries with deep learning capabilities. FOR PRICE INQUIRY CONTACT US

$0.10
Add to Cart
Features
Features
Advanced System
  1. Supports INT8/FP16/BF16/FP32 and mixed-precision inference, handling up to 288-channel HD video processing.
  2. Features an 8-core/16-thread X86 CPU @ 2.8GHz, capable of 288-channel HD video decoding and 108-channel encoding.
  3. Utilizes high-density integration with 9*BM1684X in a single device, reducing Total Cost of Ownership (TCO).
  4. Developer-friendly SOPHON SDK facilitates easy migration, compatible with Caffe, TensorFlow, PyTorch, MXNet, Paddle Lite, and other major deep learning frameworks.
Versatile Adaptability
Versatile Adaptability
Diverse Algorithms
  1. Operates in temperatures from 0°C to +40°C with a portable design.
  2. Supports pedestrian/vehicle/non-vehicle/object recognition, video structuring, and trajectory behavior analysis.
  3. Used in public security, traffic management, industrial parks, production, warehousing, and more. Adaptable deployment across various fields.
  4. Allows for multi-server cluster deployment, Ethernet connectivity, unified management services, and cloud deployment.
Specifications
Specifications
SE8 288-EA6-72
Feature
Details
Processing Capacity
INT8/FP16/BF16/FP32 supported, up to 288-channel HD video whole-process processing
JPEG Decoding
JPEG: 5400 pics/second @1080P
Hardware Specifications

Deep Learning Co-processor
ARM A53 72-core @2.3GHz
Device Memory
144GB LPDDR4x
 Host Processor
X86 2.8GHz 8-core/16-thread L3 16MB
Host Memory
2 x UDIMM DDR4-2666Mhz, 2 x 32GB
Storage
Host Storage: 1 x M.2 2280 NVME, 1TB
Device eMMC: 576GB


SPECIFICSTIONS
SPECIFICSTIONS
SE8 288-EA6-72

FeatureDetails
Dimension
148mm(W)*140mm(H)*300mm(D)
Interface
RJ45: 3 x 10/100/1000Mbps(1 x BMC)
Power Supply
AC: 1 x 500W gold power supply, 100-240V~, 7-3.5A, 60-50Hz
Working Temperature
Temperature Range: 0°C ~ 40°C
Operation System
Linux: Ubuntu/Kylin

Video & Deep Learning
Video & Deep Learning
Framework
Video Codec
Details
Decoding
H.264 & H.265: 7200fps @1080P
Encoding
H.264 & H.265: 2700fps @ 1080P
Resolution
Decoding: 8K / 4K / 1080P / 720P / D1 / CIF
Encoding: 4K / 1080P / 720P / D1 / CIF
 Framework
Models
Supported Models
PyTorch / ONNX / PaddlePaddle / TensorFlow / Caffe / MXNet / Darknet
Test1
Test 2
Test 3
Test 4
Origin
Elgota
Amazon
Best Buy
New Egg
Asus
Noon
Stripe
Amazon Pay
Paypal