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Atlas 800 Training Server
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.
• Up to 2.24 PFLOPS FP16 in a 4U space
• 1.36x the computing density of industry peers
• 8 100G RoCE v2 ports, slashing cross-server chip interconnect latency by 10–70%
• 8 x 100G RoCE v2 high-speed interfaces
• Cross-server chip interconnection latency slashed by 10% to 70%
| 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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