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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 ultra-high 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.

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 32GB, 1228GB/s
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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