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Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core
Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core
Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core
Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core
Specifications
Brand Name :
Hua Wei
Model Number :
Ascend Atlas 200
Place of Origin :
China
MOQ :
1set
Price :
To be negotiated
Payment Terms :
L/C, D/A, D/P, T/T
Supply Ability :
Batch purchase price negotiation
Delivery Time :
15-30 work days
NAME :
Ascend Atlas 200 AI Accelerator Module 16 TOPS 8 GB 128 bits 9.5 Watts Two Da Vinci AI core
Keyword :
Ascend Atlas 200 AI Accelerator Module 16 TOPS 8 GB 128 bits 9.5 Watts Two Da Vinci AI core
AI processor :
Two Da Vinci AI cores Eight A55 ARM cores (maximum frequency: 1.6 GHz)
AI compute power :
Half precision (FP16): 4/8/11 TFLOPS Integer precision (INT8): 8/16/22 TOPS
Memory :
8 GB 128 bits LPDDR4X
Storage :
64 MB eMMC 4.5
Net weight :
30 g
Dimensions :
8.5 mm x 52.6 mm x 38.5 mm (0.33 in. x 2.07 in. x 1.52 in.)
Description

Ascend Atlas 200 AI Accelerator Module 16 TOPS 8 GB 128 bits 9.5 Watts Two Da Vinci AI core

Hua Wei Ascend Atlas 200 AI Accelerator Module

Packaged in a form factor half the size of a credit card, the Hua Wei Ascend Atlas 200 AI’s power consumption is as low as 9.5 Watts while supporting 16-channel real-time HD video analytics. This high-performance, low-power product can be deployed on devices such as cameras, drones, and robots.Powered by the Huawei Ascend AI processor, it supports real-time analytics of 16-channel HD videos in the size of half a credit card.Positioned for terminal devices such as cameras and drones, and edge devices such as AI edge stations, it has a Thermal Design Power (TDP) level of only 9.5W. 16TOPS INT8 @ 13W,16-channel HD video real-time analysis with JPEG decoding supported,8 GB memory | PCIe 3.0 x 4 lane interface,Operating temperature: -25°C to +80°C (-13°F to +176°F),144-pin board to board (BTB) connector

Specifications about Hua Wei Ascend Atlas 200

Feature

Specification

AI processor

Ascend 310 AI Processor

Two Da Vinci AI cores

Eight A55 ARM cores (maximum frequency: 1.6 GHz)

AI compute powera

Half precision (FP16): 4/8/11 TFLOPS

Integer precision (INT8): 8/16/22 TOPS
Memory

Type: LPDDR4X

Bit width: 128 bits

Capacity: 8 GB/4 GB

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

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

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

Other ports

One eMMC&SD port

Two PWM ports

Four GPIO ports

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

Dimensions (H x W x D)

8.5 mm x 52.6 mm x 38.5 mm (0.33 in. x 2.07 in. x 1.52 in.)

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

Operating system (OS)

Ubuntu 16.04

Deep learning framework

TensorFlow, Caffe

Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core

Product tags

amlogic s802 quad core cpu

,

amd 12 core processor

,

amd phenum 2 processor
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Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core

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Product Detail
Brand Name :
Hua Wei
Model Number :
Ascend Atlas 200
Place of Origin :
China
MOQ :
1set
Price :
To be negotiated
Payment Terms :
L/C, D/A, D/P, T/T
Contact Supplier
Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core
Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 9.5 Watts Two Da Vinci Ai Core

Beijing Plink AI Technology Co., Ltd

Active Member
3 Years
beijing, beijing
Since 2009
Business Type :
Manufacturer, Agent, Importer, Exporter, Trading Company
Main Products :
IPC Embedded, Rugged Embedded Computer, Embedded PC Board
Total Annual :
1500000-2000000
Employee Number :
10~30
Certification Level :
Active Member
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