Atlas 800T A2 High-performance 4U Rackmount AI Training Server 

The Atlas 800T A2 training server features higher computing density, extreme energy efficiency, and high-speed network bandwidth. This server is widely used in deep learning model development and training, suitable for industries requiring high computing power such as smart cities, smart finance, education and research, and telecom operators.

1. Key Features and Technical Specifications

• Processor Configuration: Equipped with four Kunpeng 920 processors (supporting 64 or 48 cores, a maximum frequency of 3.0 GHz, and 64 MB of L3 cache) alongside Ascend 910 AI processors.
• Memory Capacity: Features 32 DDR4 RDIMM slots (supporting speeds up to 3200 Mbit/s, 16–64 GB per slot, and ECC/SDDC).
• Storage Support: Includes hot-swappable drive bays and PCIe RAID controller cards, offering flexible SATA/NVMe storage options.
• High-Speed ​​Networking:
• Integrated FlexIO card (providing four 25GE/10GE ports). 
• Up to 4 parameter-plane interface cards (each featuring 2× 200GE QSFP ports with RoCE support), enabling high-bandwidth, low-latency interconnects for distributed AI clusters.
• Expansion and Interfaces: Offers up to 3 PCIe 4.0 expansion slots, along with front and rear USB/VGA ports, a serial port, and management/LOM ports.
• Cooling and Management: Utilizes 8 hot-swappable fan modules (with N+1 redundancy) and redundant hot-swappable power supplies; integrated with the Huawei iBMC system management platform.

2. Application Scenarios

Well-suited for deployments in server rooms and large-scale data center clusters across sectors such as public cloud, internet services, telecommunications, government and enterprise, finance, higher education, and the power industry.

3. Technical specifications