Ascend Atlas 200 Module 8 GB 128 bits LPDDR4X 64MB eMMC 4.5 Ubuntu System
Hua Wei Ascend Atlas 200 AI Accelerator Module
Powered by high-performance Huawei Ascend 310 AI Processor, the Hua Wei Ascend Atlas 200 AI accelerator module provides the 4 TFLOPS of FP16 and 8 TOPS for INT8, 8 TFLOPS of FP16 and 16 TOPS for INT8, as well as 11 TFLOPS of FP16 and 22 TOPS for INT8 multiply-add computing capabilities.Provides various interfaces and supports PCIe 3.0 x4, RGMII, USB 2.0/USB 3.0, I2C, SPI, and UART interfaces.Supports up to 16-channel 1080p@30 fps video access.Supports H.264 and H.265 video encoding and decoding in various specifications, which can be applicable to different video processing requirements.The coprocessor application mode and main processor application mode of the Hua Wei Ascend Atlas 200 AI accelerator module are similar. The ARM processor of the Atlas 200 AI accelerator module can still run users' AI service software. The difference is that when the Atlas 200 AI accelerator module is used as a coprocessor, the system has a main processor. The main processor controls operations on the Hua Wei Ascend Atlas 200 AI accelerator module, such as peripheral access, power-on, hibernation, and wakeup. The external interfaces required by users' AI service software are also transferred by the main processor.
Specifications about Hua Wei Ascend Atlas 200
Feature | Specification |
AI processor | Ascend 310 AI Processor |
Memory | 8G 128 bits LPDDR4X |
Storage | 64 MB eMMC 4.5 |
Encoding/Decoding capability | H.264/H.265 decoder, 20-channel 1080p (1920 x 1080) 25 FPS, YUV420 |
Temperature | Operating temperature: -25°C to +80°C (-13°F to +176°F) |
Humidity (RH, non condensing) | Operating humidity: 5% to 90% Storage humidity: 5% to 95% |
Power consumption | Operating voltage: 3.5 V to 4.5 V; recommended typical value: 3.8 V |
Dimensions (H x W x D) | 8.5 mm x 52.6 mm x 38.5 mm |
Net weight | 30g |
Operating system (OS) | Ubuntu 16.04 |