AI Edge Computing Box: 32 TOPS TPU Power | Sienovo

Edge Computing Box

Powerful Built-in TPU | 32 TOPS INT8 Computing Power

● TPU platform box supporting floating-point operations, with high computing power of 32 TOPS@INT8, 16 TFLOPS@FP16, and 2 TFLOPS@FP32.

● Single chip supports real-time decoding of up to 32 channels of H.264 & H.265.

● Supports the domestic AI framework PaddlePaddle, and is compatible with mainstream deep learning frameworks such as Caffe /TensorFlow/MxNet/PyTorch/ONNX.

● Supports Docker containerized deployment and Python development environment.

● Features OTA (Over-The-Air) upgrade capability.

● Low-power design, combined with passive cooling from the enclosure.

● Supports wide operating temperature range of -20℃ to 60℃.

● Compatible with the domestic Kylin operating system.

This highly integrated smart workstation offers ultra-strong computing performance with a powerful built-in TPU, delivering up to 32 TOPS of INT8 computing power. It features an 8-core ARM Cortex-A53 CPU processor clocked at up to 2.3GHz. A comprehensive development and migration toolchain is provided, enabling rapid algorithm porting and project implementation. The smart workstation can operate in wide temperature environments and can be flexibly deployed in various AI scenarios, finding extensive applications in smart factories, smart construction sites, smart urban management, smart gas stations, and other fields.

Item	Type	Model/Parameter	Description
Core Configuration	Processor	CPU	8-core ARM Cortex-A53 @ 2.3GHz
	INT8	32 TOPS
	FP16	16 TFLOPS
	FP32	2 TFLOPS
	Memory	LPDDR4	Default configuration 16 Gbyte
	Flash Storage	eMMC	Default configuration 64 Gbyte
Hardware Features	Codec Performance	Video Decoding	32 channels 1080P @ 25fps, H.264 & H.265
	Video Encoding	12 channels 1080P @ 25fps, H.264 & H.265
	Image Codec	1080P 600 frames/second
	Ethernet Port (Ethernet)	x2	Supports 10/100/1000M network access
	RS-232	x1	Can connect to alarm input devices such as smoke detectors, infrared detectors, access control systems, or alarm output devices such as alarm bells (Note: RS-232 cable length is recommended not to exceed 10m)
	RS-485	x1	Can connect to alarm input devices such as smoke detectors, infrared detectors, access control systems, or alarm output devices such as alarm bells
	HDMI_OUT	x1	Can output 1080P@60fps video source to a display terminal
	Relay	x1	Can be used for current loads, voltage below 36V
	RST	x1	Standard GPIO button, can be used for application software reset
	USB3.0	x2	Can connect to USB flash drives, USB mice, USB keyboards, and other devices
	DEBUG	x1	System debug port (Type-C)
	TF Card Slot	x1	Can insert TF card to expand storage space, Class 10 or higher specification is recommended
	GPIO	x2	Can be used to output control signals to external expansion devices
	Power Interface	x1	Supports DC 12V / 4A
Expandable Features	mSATA	x1	Supports expansion with SSD (Solid State Drive) to increase storage space
	WIFI	x1	Expandable WIFI function, supports IEEE 802.11 a/b/g/n/ac/ax standard protocols
	M.2	x1	Expandable 4G/5G module, supports wireless transmission of edge data
	SIM Card Slot	x1	Used with 4G/5G wireless communication module
Item	Type	Model/Parameter	Description
Linux	File System	ext4	Ubuntu 20.04 LTS
Software Development	Media Processing	BMCV, OpenCV, FFMPEG, BMLIB
	AI Development	TensorFlow, Caffe, PyTorch, MxNet, Paddle Lite, and other quantization to offline tools.
Basic Modules	Network Settings	Command Execution	Supports static and DHCP network parameter settings
	Operating Status	CPU, Memory, Disk
	Device Information	Device serial number, software version number
	Log Management	Operating status, runtime errors, etc.
	Time	NTP, manual time synchronization
	Upgrade Management	Firmware Upgrade	Supports TF card upgrade, supports TFTP upgrade

Application Areas Widely applied in various behavioral analysis fields such as facial recognition, smart construction sites, smart parks, smart transportation, and smart campuses.