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Ascend Atlas 200 Ai Accelerator Module 4 Gb 128 Bits 16 Tops Ubuntu 16.04 64mb Emmc 4.5

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Ascend Atlas 200 Ai Accelerator Module 4 Gb 128 Bits 16 Tops Ubuntu 16.04 64mb Emmc 4.5

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Brand Name :Hua Wei
Model Number :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 4 GB 128 bits 16 TOPS Ubuntu 16.04 64MB eMMC 4.5
Keyword :Ascend Atlas 200 AI Accelerator Module 4 GB 128 bits 16 TOPS Ubuntu 16.04 64MB eMMC 4.5
AI processor :Two Da Vinci AI cores Eight A55 ARM cores (maximum frequency: 1.6 GHz)
Power consumption :6.5 W
Memory :8 GB 128 bits LPDDR4X
Storage :64 MB eMMC 4.5
Dimensions :8.5 mm x 52.6 mm x 38.5 mm (0.33 in. x 2.07 in. x 1.52 in.) 30g
Operating system (OS) :Ubuntu 16.04
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Ascend Atlas 200 AI Accelerator Module 4 GB 128 bits 16 TOPS Ubuntu 16.04 64MB eMMC 4.5

Ascend Atlas 200 AI Accelerator Module

The Ascend Atlas 200 AI accelerator module is applicable to various working scenarios, such as video surveillance devices, drones, and servers. The Atlas 200 AI accelerator module adopts a high-specification hardware design to meet demanding environment requirements.The Atlas 200 AI accelerator module is a high-performance AI compute module.By integrating the Huawei Ascend 310 AI Processor, the Atlas 200 AI accelerator module is ideal for analysis and inferential computing of data such as images and videos. It can be widely used in intelligent surveillance, robots, drones, and video servers.The Ascend Atlas 200 AI accelerator module integrates a complete Ascend 310 AI Processor hardware system, which shortens the R&D period and simplifies the user design.

Specifications about Hua Wei 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

Serial bus port

Two UART ports

Three I2C ports

Three SPI ports (multiplexed with SPI3, I2C2, and UART1 signals)

Other ports

One eMMC&SD port

Two PWM ports

Four GPIO ports

PCI IDs

Vendor ID: 0x19E5
Device ID: 0xD100
Subsystem Vendor ID: 0x0200 Subsystem Device ID: 0x0100

NOTE

This parameter is available only when the Atlas 200 AI accelerator module functions as a PCIe slave device and is not involved when it functions as a main processor or coprocessor.

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

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)

Ascend Atlas 200 Ai Accelerator Module 4 Gb 128 Bits 16 Tops Ubuntu 16.04 64mb Emmc 4.5

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