Dotazy
Atlas 200 AI Accelerator Module
The Atlas 200 AI accelerator module (model: 3000) integrates the Ascend 310 AI processor to implement image recognition and image classification on the device side. Atlas 200 is widely used in AI scenarios such as intelligent cameras, robots, and drones.
• 22 TOPS INT8 in the size of half a credit card, supporting real-time analysis of 20-channel HD videos (1080p 25FPS)
• Multi-level computing power configuration: 22/16/8 TOPS
• Hibernation at milliwatts and wakeup in milliseconds, typical power consumption of 5.5 W, enabling edge AI applications
Parameters | Atlas 200 AI Accelerator Module Model: 3000 |
AI Processor | Ascend 310 |
AI Computing Power | 22 TOPS INT8 16 TOPS INT8 8 TOPS INT8 |
Memory | LPDDR4X, 8 GB/4 GB, total bandwidth 51.2 GB/s |
Encoding/ Decoding | • H.264 hardware decoding, 16-channel 1080p 30 FPS (2-channel 3840 x 2160 @ 60 FPS) • H.265 hardware decoding, 16-channel 1080p 30 FPS (2-channel 3840 x 2160 @ 60 FPS) • H.264 hardware encoding, 1-channel 1080p 30 FPS • H.265 hardware encoding, 1-channel 1080p 30 FPS • JPEG decoding: 1080p 256 FPS; encoding: 1080p 64 FPS; maximum resolution: 8192 x 4320 • PNG decoding: 1080p 24 FPS; maximum resolution: 4096 x 2160 |
Port | • PCIe x4 Gen3.0 • 1 USB 2.0/USB 3.0 • 1 RGMII |
Serial Bus | UART/I2C/SPI |
Interface Specifications | 144-pin BTB connector |
Typical Power Consumption | 4 GB: 5.5 W 8 GB: 8 W |
Operating Temperature | -25°C to +80°C (-13°F to +176°F) |
Weight | 30 g |
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.) |
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