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PJM Technology Industry Co., Limited

Shenzhen Peng Jin Technology Co., LTD.

Home > Category > Supercomputing > HUAWEI Ascend Atlas Al Accelerator > Huawei Atlas 300I Duo Reasoning Card Dual-chip AI Inference Accelerator
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Huawei Atlas 300I Duo Reasoning Card Dual-chip AI Inference Accelerator

Huawei Atlas 300I Duo Reasoning Card Dual-chip AI Inference Accelerator

Huawei Atlas 300I Duo Reasoning Card Dual-chip AI Inference Accelerator

The Atlas 300I Duo inference card integrates "general-purpose processor, AI Core, and codec" into one,offering Al inference, video analysis, and other functions. It boasts powerful computing power, ultra-high energy efficiency, and high-performance video analysis, making it widely applicable in scenariossuch as the internet, smart cities, and smart transportation. It supports multiple applications includingsearch clustering, content moderation, OCR recognition, speech analysis, and video analysis.


1. Key Specifications

  • Processors: 2 x Ascend 310P AI Processors (16 Da Vinci AI cores and 16 Huawei CPU cores per chip).
  • Compute Power: 280 TOPS INT8 and 140 TFLOPS FP16 (combined across both chips; 140 TOPS and 70 TFLOPS per chip).
  • Memory: 48GB or 96GB LPDDR4X with ECC, providing 408 GB/s total combined bandwidth (roughly 204 GB/s per chip as memory is not pooled).
  • Form Factor & Power: Single-slot PCIe Gen 4 x16 card with a 150W passive cooling design.
  • Media Engine: Built-in hardware decoding for 256 channels of 1080p30 or 32 channels of 4K60.

 

2. Performance and Ecosystem Limitations

  • Software Stack: It relies on Huawei's proprietary CANN architecture rather than CUDA. Mainstream tools like Ollama or standard GGUF workflows face heavy instability, requiring specific backends or workarounds (such as GPUStack or custom llama.cpp builds).
  • Hardware Compatibility: Most standard desktop motherboards and consumer systems cannot easily boot or power the card properly; it is officially designed and validated for specific enterprise servers like the Huawei Atlas 800.
  • Community Consensus: Most users on TechPowerUp Forums and r/LocalLLaMA agree that while the price-to-VRAM ratio is unmatched for budget local large language model (LLM) experimentation, the driver headaches, lack of plug-and-play support, and split-chip memory constraints make it a project card rather than a drop-in replacement for NVIDIA hardware.

3. Technical specifications

  • Products
  • Atlas 300I Duo Reasoning Card
  • AI computing power
  • 280 TOPS INT8
  • 140 TFLOPS FP16
  • Memory specifications
  • LPDDR4X 96GB or 48GB, with a total bandwidth of 408GB/s
  • supporting ECC
  • Encoding and decoding capabilities
  • Supports H.264 hardware decoding, 256 channels 1080P 30FPS (32 channels 3840 * 2160 60 FPS)
  • Supports H.265 hardware decoding, 256 channels 1080P 30FPS (32 channels 3840 * 2160 60 FPS)
  • Supports H.264 hardware encoding, 48 channels of 1080P at 30FPS (6 channels of 4K at 60 FPS)
  • Supports H.265 hardware encoding, 48 channels of 1080P at 30FPS (6 channels of 4K 60 FPS)
  • JPEG decoding capability is 4K 1024FPS, encoding capability is 4K 512FPS
  • Maximum resolution: 8192 * 8192
  • PCIe interface
  • x16 Lances, compatible with x8/x4/x2
  • PCIe Gen4.0, compatible with 3.0/2.0/1.0
  • Power consumption
  • 150W
  • Operating environment temperature
  • 0℃~55℃(32℉~131℉)
  • Form
  • Single slot full height and length (10.5 inches)
  • Structural dimensions
  • 266.7mm (length) × 111.15mm (height) × 18.46mm (width)
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