Atlas 800 Training Server (Model: 9010)

Atlas 800 Training Server

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 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.

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The ultimate computing density

• Up to 2.24 PFLOPS FP16 in a 4U space
High-speed network

• 8 100G RoCE v2 ports, slashing cross-server chip interconnect latency by 10–70%
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 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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Atlas 800 Training Server

Atlas 800 Training Server (Model: 9010)

Specifications

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