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Huawei Atlas 300I A2 High-performance AI Inference Accelerator Card
The Atlas 300I A2 inference card offers powerful AI inference capabilities, with advantages such as powerful computing power and video analysis. It can be widely applied in scenarios such as generative large model inference and content moderation, supporting up to 560 TOPS INT8 and 280 TFLOPS FP16 computing power, accelerating the deep industry inference of large models.
1. Key Technical Specifications
• AI Compute: 560 TOPS (INT8) and 280 TFLOPS (FP16)
• Form Factor: Full-height, full-length double-slot PCIe 5.0 card
• Memory Options: 32GB or 64GB on-chip memory with ECC support (up to 1.6 TB/s bandwidth)
• CPU: Integrated 8-core CPU running at 2.0 GHz
• Power & Cooling: Maximum 350W power consumption with passive air cooling
2. Use Case
- Form Factor: PCIe accelerator card.
- Memory Options: Available with 24GB, 32GB, and 64GB HBM2e memory.
- Precision Support: FP16, BF16, and INT8.
- Core Components: Integrates a general-purpose processor, AI Core, and hardware codec unit.
- Software Ecosystem: Shares the same Ascend 910B foundation as larger servers like the Atlas 800I A2, allowing compatibility with containerized and framework runtimes such as vLLM-Ascend GitHub Issue #5651 discussions.
3. Technique Method rules Grid
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