Atlas 200I DK A2 Developer Kit
Atlas 200I DK A2 Developer Kit
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Atlas 200I DK A2 Developer Kit

ATLAS 200I-A2 development kit, using Atlas 200I A2 acceleration module. The Atlas 200I A2 acceleration module is a high-performance AI intelligent computing module that integrates the Ascend 310B AI processor. The Ascend 310 series AI processor is a high-performance, low-power AI chip designed by Huawei specifically for fields such as image recognition, video processing, inference computing, and machine learning. Equipped with one AI core, this Chip can support 96 bit wide LPDDR4X and achieve a maximum computing power of 20 TOPS INT8. It can achieve various data analysis and inference calculations such as images and videos, and can be widely used in scenarios such as intelligent monitoring, robots, drones, video servers, etc.

Technical Reference

Product Details

Accessories


ATLAS-200I-A2 Dev Kit
ProjectDescribe
Core ModuleAtlas A2
AI Performance8/20TOPS INT8
Memory Specification8 GB/16GB LPDDR4X
Encoding and Decoding CapabilityConfiguration with 20 TOPS:
H.264/H.265 Hardware decoding,40*1080P30FPS,4*4K(3840x2160)75FPS;
H.264/H.265 Hardware decoding,20*1080P30FPS,3*4K(3840x2160)50FPS;
Configuration with 8 TOPS:
H.264/H.265 Hardware decoding,20*1080P30FPS,2*4K(3840x2160)75FPS;
H.264/H.265Hardware decoding,12*1080P30FPS,2*4K(3840x2160)50FPS;
Configuration with 20/8TOPS:
JPEG Decoding Capability1080P 512FPS,Decoding Capability1080P256FPS,Maximum Resolution:16384x16384
EthernetTwo 1000BASE-R (1.25Gbps) network interfaces
USBTwo standard USB3.0-A external interfaces (5Gbps) ;
 One expandable USB3.0 interface on the board;
HDMI2*HDMI
StorageThree M.2 Keys support nvme SSDs; one TF card slot.
Operating SystemopenEuler 22.03、Ubuntu 22.04
Storage1 x m.2 key m nvme 2280 (Supports external NVMe)
wifi/4G/5GOne SIM card slot; one Mini PCIe interface supports 4G/5G/WIFI
Audio1*LINE IN
PowerDC 12V
Size105*77(mm)
Operating Temperature-20°C~80°C
Relative Humidity5%~95%


APPLICATION

Intelligent terminals are a type of embedded computer system equipment equipped with NVIDIAJetson series core modules, which have the characteristics of small size, high performance, low power consumption, and strong stability.