Atlas 800 Inference Server for AI Training (Model: 3000)

The Atlas 800 inference server (model: 3000) supports up to 8 Atlas 300I/V Pros, providing powerful real-time inference and video analysis capabilities, widely used in central-side AI inference scenarios.

1. Key Models and Core Features

1.1 Atlas 800 Inference Servers (e.g., Model 3000 / Atlas 800I A2 / Atlas 800I A3)

• Core Processors: Powered by Huawei Kunpeng 920 processors or Ascend-series AI processors (such as the Ascend 910C).
• Primary Functions: Focused on real-time inference, generative AI services, large language model (LLM) inference, intelligent customer service, and video/image analysis. 
• Performance and Configuration: Supports high-bandwidth acceleration memory and multi-channel video/AI data processing; features efficient air cooling and hot-swappable, redundant power supplies.

1.2 Atlas 800 Training Servers (e.g., Model 9000 / Model 9010)

• Core Processors: Based on Kunpeng 920 and Ascend 910 AI processors (or configured with Intel processors).
• Primary Functions: Designed specifically for deep learning model development and large-scale AI training scenarios. 
• Key Characteristics: Offers high compute density, superior energy efficiency, high network bandwidth, and a 4U rack-mount architecture that is easy to scale and manage.

1.3 Software Ecosystem

• Provides comprehensive support for Huawei’s full-stack AI hardware and software computing architecture—including CANN, MindSpore, MindIE, and AscendCL—while ensuring compatibility with mainstream frameworks such as PyTorch.

2. Technical specifications