| Place of Origin: | China |
|---|---|
| Brand Name: | Hua Wei |
| Model Number: | Ascend Atlas 200 |
| Minimum Order Quantity: | 1set |
| Price: | To be negotiated |
| Delivery Time: | 15-30 work days |
| Payment Terms: | L/C, D/A, D/P, T/T |
| Supply Ability: | Batch purchase price negotiation |
| 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.) |
| High Light: | ascend atlas 200 ai accelerator module,16 tops ai accelerator module |
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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 |
