Atlas 800 Training Server
Ultra-high computing density
Ultra-high computing density
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 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.
The ultimate computing density
• Ultra-high AI Performance
High-speed network bandwidth
• 8 x 100G RoCE v2 high-speed interfaces
• Cross-server chip interconnection latency slashed by 10% to 70%
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 processors |
| 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 |