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

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

Name: Ascend Atlas 200 Ai Accelerator Module 16 Tops 8 Gb 128 Bits 95 Watts Two Da Vinci Ai Core
Brand: Hua Wei
Price: 1 USD

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

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.)

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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:

ascend atlas 200 ai accelerator module

16 tops ai accelerator module

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