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Atlas 300 AI Accelerator Card

Based on the Ascend 310 and 910 AI processor, the Atlas 300 AI accelerator card supports multiple types of data precision and is suitable for AI training and inference scenarios. The Atlas 300 AI accelerator card uses a groundbreaking Da Vinci architecture to unlock industry-leading performance and energy efficiency. It can be widely used for data centers and the intelligent edge.

Application Scenarios

  • Safe City

    For facial recognition in scenarios such as public security management, customs and border defense, safe campus, and population database cross-check.

  • Smart Transportation

    For traffic violation investigation and vehicle tracking in applications such as license plate recognition, vehicle big data analytics, and track analysis.

  • Smart Finance

    For automatic identification and content of financial documents, financial statements, cards, and insurance claims; supports service processes on smartphones.

Huawei

Specifications


Model Atlas 300 AI Accelerator Card
Model:3000
Form Factor Half-height, half-length PCIe standard card
Memory 4 x LPDDR, 32 GB, and 3,200 Mbit/s
AI Compute Power 64 TOPS INT8
Encoding/Decoding Capability • H.264 hardware decoding, 64-channel 1080p30 (2-channel 3,840 x 2,160 @ 60 FPS)
• H.265 hardware decoding, 64-channel 1080p30 (2-channel 3,840 x 2,160 @ 60 FPS)
• H.264 hardware encoding, 4-channel 1080p30
• H.265 hardware encoding, 4-channel 1080p30
• JPEG decoding, 4-channel 1080p256; encoding 4-channel 1080p64
• PNG decoding, 4-channel 1080p48
PCIe Expansion • PCIe 3.0, compatible with 2.0/1.0
• x16 lanes, compatible with x8/x4/x2/x1
Power Consumption 67W
Dimensions (W x D) 169.5 mm x 68.9 mm (6.67 in. x 2.71 in.)
Weight 319g
Operating Temperature 0°C to 55°C (32°F to +131°F)
Model Atlas 300 AI Accelerator Card
Model:9000
Form Factor standard full-height 3/4-length PCIe card
Memory built-in 32 GB HBM and 16 GB two-level, large-capacity memory
AI Compute Power 256T FLOPS FP16
PCIe Expansion PCIe 4.0x16

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