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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 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.
• Up to 2.24 PFLOPS FP16 in a 4U space
• 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 | 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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