The Atlas 800 training server (model: 9000) is powered by the Kunpeng 920 and Ascend 910 processors. It features ultra-high 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.
• Up to 2.24 PFLOPS FP16 in a 4U space
• Supports air cooling and liquid cooling
• 2.24 PFLOPS/5.6 kW1 ultra-high energy efficiency
• 8 100G RoCE v2 high-speed ports
• Slashes cross-server chip interconnect latency by 10–70%
| 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 3200 MT/s • 16GB, 32 GB or 64 GB per DIMM |
| AI Processor | 8 Ascend 910 processors |
| HBM | 32 GB, 1228 GB/s |
| AI Computing Power | 2.24 PFLOPS FP16 1.76 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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