AI Inference Acceleration Card Powered by Sophon BM1684 Chip
Powered by the Sophon BM1684 chip, this computing accelerator card is designed for AI inference. It can be integrated into servers and industrial control computers, efficiently supporting all mainstream AI algorithms on the market to enable applications such as video structuring, facial recognition, behavior analysis, and status monitoring. It delivers AI empowerment to smart city, intelligent transportation, smart energy, smart finance, smart telecom, and smart industrial fields.

Product Specifications
AI Chip
AI Chip
Sophon BM1684
CPU
CPU
ARM 8-core A53 @2.3GHz
TPU Architecture
TPU Architecture
SOPHON
NPU Cores
NPU Cores
64
AI Computing Power
FP32 (FLOPS)
2.2T
INT8 (OPS) Winograd OFF
17.6T
INT8 (OPS) Winograd ON
35.2T
VPU
Video Decoding Capability
H.264: 1080P @960fps
Video Decoding Resolution
H.265: 1080P @1000fps
Video Encoding Capability
CIF/D1/720P/1080P/4K(3840×2160)/8K(8192×4096)/8192×8192
Video Encoding Resolution
H.264: 1080P @70fps
H.265: 1080P @60fps
Video Transcoding Capacity (1080P to CIF)
Up to 18 channels
JPU
JPEG Image Decoding Capability
800 frames/sec @1080P
Maximum Resolution (pixels)
32768×32768
System Interface
Data Link
PCIe X16
Operating Mode
EP
Memory
Specification
LPDDR4
Capacity
12GB
Power Consumption
Typical Power
21W
Maximum Power
30W
Operating Environment
Temperature (Operating/Storage)
-10℃~55℃
Humidity (Operating/Storage)
5~95% non-condensing
Cooling Method
Active cooling
Operating System Support
Operating System Support
Ubuntu / CentOS / Debian / UOS / Kylin
Host CPU Support
Host CPU Support
Compatible with Intel, AMD, Phytium, Hygon, Sunway, Loongson, and other CPUs
Dimensions (with bracket)
Dimensions (with bracket)
169.1mm(W) x 68.9mm(H) x 19mm(D)