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  • Atlas 800 Training Server

    Atlas 800 Training Server

Atlas 800 Training Server (Model: 9010)

The Atlas 800 training server (model: 9010) is an AI training server based on the Intel processors and Huawei Ascend 910 processors. It features the industry's highest computing density and high network bandwidth. The server is widely used in deep learning model development and training scenarios, and is an ideal option for computing-intensive industries, such as smart city, intelligent healthcare, astronomical exploration, and oil exploration.

View 3D model
  • Huawei
    26 rapid deployment
    The ultimate computing density

    • Up to 2.24 PFLOPS FP16 in a 4U space
    • 1.36x the computing density of industry peers

  • Huawei
    High-speed network

    • 8 100G RoCE v2 ports, slashing cross-server chip interconnect latency by 10–70%

  • Huawei
    51 large bandwidth
    High-speed network bandwidth

    • 8 x 100G RoCE v2 high-speed interfaces
    • Cross-server chip interconnection latency slashed by 10% to 70%

Huawei

Specifications

Parameters Atlas 800 Training Server
Model: 9010
Form Factor 4U AI server
Processor 2 Intel V5 Cascaded Lake processors
Processor Memory Up to 24 DDR4 DIMM slots, supporting RDIMMs
AI Processor 8 Ascend 910 processors
HBM 256 GB
AI Computing Power 2.24 PFLOPS FP16
1.76 PFLOPS FP16
Local storage • 2 x 2.5'' SATA + 8 x 2.5'' SAS/SATA
• 2 x 2.5'' SAS/SATA + +6 x 2.5'' NVMe
RAID RAID 0, 1, 10, 5, 50, 6, or 60
Network 8 100GE
1 OCP NIC 3.0 standard card, supporting 2 25GE
PCIe Expansion Up to 6 PCIe 3.0 x8 slots
PSUs 4 hot-swappable 3 kW AC PSUs, supporting 2+2 redundancy
Power Supply • 200–240 V AC
• 240 V DC
Power Consumption Maximum: 5.6 kW
Cooling Mode Air cooling
Fan Modules 8 hot-swappable fan modules, supporting N + 1 redundancy
Temperature • Operating: 5℃ to 35℃
• Storage: –40°C to +70°C
Dimensions (H x W x D) 790 mm x 175 mm x 447 mm

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