Atlas 200 Module Ascend Ai Board 8 Gb 128 Bits Lpddr4x 64mb Emmc 4.5 Ubuntu System
Brand Name:Hua Wei
Model Number:Ascend Atlas 200
Minimum Order Quantity:1set
Delivery Time:15-30 work days
Payment Terms:L/C, D/A, D/P, T/T
Place of Origin:China
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Beijing Beijing China
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Ascend AI Board Atlas 200 Module 8 GB 128 bits LPDDR4X 64MB eMMC 4.5 Ubuntu System
Hua Wei Ascend AI Board Atlas 200 Module
OS:Ubuntu 16.04
The Hua Wei Ascend Atlas 200 AI accelerator module has eight Cortex-A55 cores and provides common peripheral ports such as I2C, USB, SPI, and RGMII. It can be used as an embedded system CPU.You can burn the OS to the embedded multimedia controller (eMMC) flash or an SD card. After simple configuration, the ARM CPU in the Atlas 200 AI accelerator module can run users' AI service software.Generally, in this application mode, the Atlas 200 AI accelerator module is connected to simple external devices such as IP cameras (IPCs), I2C sensors, and Serial Peripheral Interface (SPI) displays.Powered by high-performance Huawei Ascend 310 AI Processor, the 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.
Hua Wei Ascend AI Board Atlas 200 Module Specification
| Feature | Specification |
AI processor | Ascend 310 AI Processor Two Da Vinci AI cores Eight A55 ARM cores (maximum frequency: 1.6 GHz) |
| Memory | 8G 128 bits LPDDR4X Rate: 3200 Mbit/s Error checking and correcting (ECC) |
| Storage | Built-in SPI flash. Capacity: 64 MB External MMC interfaces and supports: – eMMC 4.5, supporting the highest-speed mode SDR50 and up to 64 GB capacity – SD3.0 card, supporting the highest-speed mode SDR50 and up to 2 TB capacity |
High-speed port | One PCIe 3.0 x4, supporting the RC or EP mode One RGMII port One USB 3.0 port, compatible with USB 2.0 |
Encoding/Decoding capability | H.264/H.265 decoder, 20-channel 1080p (1920 x 1080) 25 FPS, YUV420 H.264/H.265 decoder, 16-channel 1080p (1920 x 1080) 30 FPS, YUV420 H.264/H.265 decoder, 2-channel 4K (3840 x 2160) 60 FPS, YUV420 H.264/H.265 encoder, 1-channel 1080p (1920 x 1080) 30 FPS, YUV420 JPEG decoding at 1080p (1920 x 1080) 256 FPS and encoding at 1080p (1920 x 1080) 64 FPS, up to 8192 x 4320 resolution PNG decoding at 1080p (1920 x 1080) 24 FPS, up to 4096 x 2160 resolution |
Temperature | Operating temperature: -25°C to +80°C (-13°F to +176°F) Storage temperature: -25°C to +85°C (-13°F to +185°F) |
Other ports |
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Power consumption | Operating voltage: 3.5 V to 4.5 V; recommended typical value: 3.8 V Typical power consumption – 4 GB: 6.5 W – 8 GB: 9.5 W |
| Feature | Specification |
Dimensions | 8.5 mm x 52.6 mm x 38.5 mm NOTE The connector model of the Atlas 200 AI accelerator module is fixed. You can select male connectors with different heights to determine the height of the Atlas 200 AI accelerator module. |
Net weight | 30g |
a: stable, maximum computing power. | |
Basic software specifications
Feature | Specification |
Operating system (OS) | Ubuntu 16.04 |
Deep learning framework | TensorFlow, Caffe |
Compiler | CCE/CCE compiler Tool |
Atlas 200 Module Ascend Ai Board 8 Gb 128 Bits Lpddr4x 64mb Emmc 4.5 Ubuntu System
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