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Atlas 800 Training Server (Model: 9000)

The Atlas 800 training server (model: 9000) is powered by the Kunpeng 920 and Ascend 910 processors. It features the industry's highest computing density, ultra-high energy efficiency, 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.

Huawei

Specifications

Parameters Atlas 800 Training Server
Model: 9000
Form Factor 4U AI server
Processor 4 Kunpeng 920 processors
Processor Memory • Up to 32 DDR4 DIMM slots, supporting RDIMMs
• Up to 2933 MT/s
• 32 GB or 64 GB per DIMM
AI Processor 8 Ascend 910 processors
HBM 32 GB, 1200 GB/s
AI Computing Power 2.24 PFLOPS FP16
Local Storage • 2 x 2.5'' SAS/SATA + 3 x 2.5'' NVMe
• 2 x 2.5'' SATA + 3 x 2.5'' NVMe
• 2 x 2.5'' SAS/SATA + +6 x 2.5'' NVMe
• 2 x 2.5'' SATA + +6 x 2.5'' NVMe
• 2 x 2.5'' SATA + 8 x 2.5'' SAS/SATA
RAID RAID 0, 1, 10, 5, 50, 6, or 60
Network 8 100GE + 4 25GE/2 100GE
PCIe Expansion Up to 2 PCIe 4.0 slots
PSU 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 or liquid cooling
Fan Modules 8 hot-swappable fan modules, supporting N + 1 redundancy
Temperature • Operating: 5°C to 35°C (41°F to 95°F)
• Storage: -40°C to +70°C (40°F to +158°F)
Dimensions (H x W x D) 790 mm x 175 mm x 447 mm

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