Core-1684JD4
8-Core High Computing Power AI Core
Board
Powered by SOPHON AI processor BM1684, this core board can be configured with 12GB RAM. INT8 computing power is
up to 17.6TOPS.
It supports mainstream frameworks and complete, easy-to-use toolchain, featuring low cost of algorithm
migration. Backplane reference
design is provided for users to make further customization. It can be applied to various AI scenarios, such as
visual computing, edge
computing, general computing power services, intelligent transportation, unmanned supermarkets, security
surveillance, UAV etc.
New-gen AI processor BM1684
This core board is powered by SOPHON AI processor BM1684, which is octa-core ARM
Cortex-A53, up to 2.3GHz clock speed and 12nm lithography
process. With up to 17.6Tops INT8 computing power or 2.2Tops FP32 high-precision computing power,it supports
mainstream programming
frameworks, which can be widely used in artificial intelligence inference for cloud and edge applications.
Powerful video AI performance
Up to 32-channel 1080P H.264/H.265 video decoding is supported. It can process
and analyze more than 16-channel HD video at the same time,
meeting the needs of various AI application scenarios, such as face detection on video streaming, license plate
recognition, etc.
High throughput and energy efficiency ratio
Based on INT8 quantified Batch4 measured data, Core-1684JD4 has higher throughput
and energy efficiency ratio than
the mainstream intelligent computing module platform in the industry, and has more advantages in performance.
One-stop toolkit, convenient and efficient
The BMNNSDK2 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.
Complete software and hardware
With a complete software framework, Artificial Intelligence inference for cloud
and edge applications can be easily achieved. All of them accelerate
development of edge applications, such as face recognition, video structuring, abnormal alarm, equipment
inspection, and situation prediction, etc.
A variety of interfaces
With PCIe3.0, GMAC, SDIO3.0, I2C, PWM, UART and GPIO, it is easy to integrate
into various edge embedded products and accelerate product development.
High-performance mainboard
The core board adopts 260P standard SODIMM interface with immersion gold
technology, which is small in size. It can be combined
with a backplane to form a complete high-performance mainboard with richer expansion interfaces.
Provide backplane reference design
Backplane reference design and complete technical information are provided, so
users can efficiently proceed with secondary development
to quickly create independent and controllable
products.
A wide range of applications
The core board can efficiently adapt to all AI
algorithms on the market and integrate into edge computing boxes, which promote development of
industries through AI, such as visual computing, edge computing, general computing power services, Artificial
Intelligence, intelligent
construction site, intelligent transportation, smart classes, unmanned supermarkets, security surveillance.
Computing server
Edge calculation
AI
Traffic control
Self service market
Security
