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Atlas 800 AI Training Server (Model: 9000)

The Atlas 800 AI training server (model: 9000) is based on Huawei 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 training, and is an ideal option for computing power-demanding industries, such as Smart City, intelligent healthcare, astronomical exploration, and oil exploration.

Huawei

Specifications

Parameters Atlas 800 AI Training Server
Model: 9000
Form Factor 4U 4-socket AI server
Processor 4 Kunpeng 920 processors
Memory • Up to 32 DDR4 DIMMs, supporting RDIMM
• Maximum memory speed: 2933 MT/s
• 32 GB or 64 GB per DIMM
AI Processor 8 Ascend 910
HBM 32 GB, 1200 Gbit/s
NPU Memory 16 GB, total bandwidth 38.4 Gbit/s
AI Computing Power 2 PFLOPS FP16
Local Storage • 2 x 2.5'' SAS/SATA HDDs or SSDs + 3 x 2.5'' NVMe SSDs
• 2 x 2.5'' SATA HDDs or SSDs + 3 x 2.5'' NVMe SSDs
• 2 x 2.5'' SAS/SATA HDDs or SSDs + 6 x 2.5'' NVMe SSDs
• 2 x 2.5'' SATA HDDs or SSDs + 6 x 2.5'' NVMe SSDs
• 2 x 2.5'' SATA HDDs or SSDs + 8 x 2.5'' SAS/SATA HDDs or SSDs
RAID RAID 0, 1, 10, 5, 50, 6, and 60
Network 8 x 100GE + 4 x 25GE/2 x 100GE
PCIe Expansion Up to 2 PCIe 4.0 slots
PSU 4 hot-swappable 3 kW AC PSUs in 2+2 redundancy mode
Power Supply • 200 V to 240 V AC
• 240 V DC
Power Consumption Maximum: 5.5 kW
Cooling Mode Air/Liquid cooling
Fan Module 8 hot-swappable fan modules in N+1 redundancy mode
Temperature • Operating temperature: 5°C to 35°C (41°F to 95°F)
• Storage temperature: -40°C to +70°C (40°F to +158°F)
Dimensions 175 mm x 447 mm x 790 mm
Codec Capability 32 built-in hardware decoders decode up to 16384 1080p images per second, which can be processed in parallel with training.

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