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Atlas 800 AI Inference Server (Model: 3010)

Powered by the Intel processors, the Atlas 800 AI inference server (model: 3010) supports up to 7 Atlas 300 inference accelerator cards for 448-channel real-time HD video analytics. It is widely used in AI inference scenarios at the data center side.

Huawei

Specifications

Parameters Atlas 800 AI Inference Server
Model: 3000
Form Factor 2U 2-socket AI server
Processor 1 or 2 Intel® Xeon® Skylake or Cascade Lake Scalable processors
Memory 24 DDR4 DIMM slots, up to 2933 MT/s
AI Accelerator Card Up to 7 Atlas 300 AI inference accelerator cards for 448-channel real-time HD video analytics
AI Computing Power 448 TOPS INT8
NPU Memory Up to 224 GB, total bandwidth up to 1433.6 Gbit/s
Local Storage • 8 x 2.5'' SAS/SATA HDDs or SSDs
• 12 x 3.5'' SAS/SATA HDDs or SSDs
• 8 x 2.5'' SAS/SATA HDDs or SSDs + 12 x 2.5'' NVMe SSDs
• 24 x 2.5'' SAS/SATA HDDs or SSDs
• 24 x 2.5'' NVMe SSDs
• 25 x 2.5'' SAS/SATA HDDs or SSDs
RAID RAID 0, 1, 10, 1E, 5, 50, 6, or 60
PCIe 10 PCIe 3.0 (including 1 for a RAID controller card and 1 for a FlexIO card)
Power Supply 2 hot-swappable PSUs in 1+1 redundancy mode can be configured. The optional specifications are as follows:
• 550 W AC Platinum PSUs
• 900 W AC Platinum/Titanium PSUs
• 1500 W AC Platinum PSUs
• 1500 W 380 V HVDC PSUs
• 1200 W -48 V to -60 V DC PSUs
Fan Module 4 hot-swappable fan modules in N+1 redundancy mode
Operating Temperature 5°C to 45°C (41°F to 113°F)
Dimensions (H x W x D) Chassis with 3.5'' drives:
86.1 mm x 447 mm x 748 mm (3.39 in. x 17.60 in. x 29.45 in.)
Chassis with 2.5'' drives:
86.1 mm x 447 mm x 708 mm (3.39 in. x 17.60 in. x 27.87 in.)

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