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Atlas 300 AI
Based on the Ascend 310 AI processor, the Atlas 300 AI accelerator card is packaged in a standard half-height, half-length PCIe card form factor. It supports multiple types of data precision and is suitable for AI training and inference scenarios (mainly inference). 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.
Delivers up to 64 TOPS INT8 and 64-channel HD video real-time analytics per card, providing strong computing capability for deep learning and inference.
Supports JPEG and video hardware encoding/decoding, boosting image and video applications.
Offers large memory capacity and high bandwidth, meeting memory requirements in feature-matching scenarios and reducing application latency.
For facial recognition in scenarios such as public security management, customs and border defense, safe campus, and population database cross-check.
For traffic violation investigation and vehicle tracking in applications such as license plate recognition, vehicle big data analytics, and track analysis.
For automatic identification and content of financial documents, financial statements, cards, and insurance claims; supports service processes on smartphones.
|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
|Dimensions (W x D)||169.5 mm x 68.9 mm (6.67 in. x 2.71 in.)|
|Operating Temperature||0°C to 55°C (32°F to +131°F)|