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Atlas 800 AI Server

Atlas 800 is best suited for real-time inference and training that demands high efficiency at low power consumption. It is perfect for video and image analytics and deep learning training. Configure it with up to eight Atlas 300 AI accelerator cards or AI accelerator module for any scenario and any inference requirement.

Huawei

Specifications


Model Atlas 800 AI Server
Model: 3000
Form Factor 2U 2-socket rack server
Processors 2 Kunpeng 920 processors
AI Accelerator Card Up to eight Atlas 300 cards for 256-channel intelligent video analytics of people, vehicles, and things
Memory 32 DDR4 DIMM slots with 2,933 MT/s
Internal Storage 12-drive model:
• Front: 12 x 3.5-inch SAS/SATA HDDs or SSDs
• Rear: 4 x 3.5-inch SAS/SATA HDDs or SSDs
25-drive model:
• Front: 25 x 2.5-inch SAS/SATA HDDs or SSDs,or 16 x 2.5-inch NVMe SSDs
• Rear: 2 x 2.5-inch SAS/SATA HDDs or SSDs
RAID RAID 0, 1, 5, 6, 10, 50, or 60
(Optional) Supercapacitor for power failure protection
LOM Network Ports 2 flexible LOM cards, supporting up to:
8 x GE electrical ports, or
8 x 25 GE/10 GE optical ports, or
4 x GE electrical ports + 4 x 25GE/10GE optical ports
PCIe Expansion Up to 8 PCIe 4.0 x8, or
3 PCIe 4.0 x16 + 2 PCIe 4.0 x8 slots
Power Supply Units 2 x 1500/2000 W hot-swappable AC PSUs with 1+1 redundancy
Power Supply 100–240 V AC
240 V DC
Fan Modules 4 hot-swappable fan modules with N+1 redundancy
Operating Temperature 5ºC to 40ºC (41ºF to 104ºF)
Dimensions (H x W x D) 86.1 mm x 447 mm x 790 mm (3.39 in. x 17.60 in. x 31.10 in.)
Model Atlas 800 AI Server
Model: 3010
Form Factor 2U 2-socket rack server
Processors 1 or 2 Intel® Xeon® Scalable Skylake or Cascade Lake processors, up to 205 W
AI Accelerator Card Up to seven Atlas 300 or NVIDIA T4 AI accelerator cards for 448-channel intelligent video analytics of people, vehicles, and things
Memory 24 DDR4 DIMM slots with 2,933 MT/s
Internal Storage Hard drive configurations:
• 8 x 2.5-inch SAS/SATA HDDs or SSDs
• 12/16/20 x 3.5-inch SAS/SATA HDDs
• 4/8/12/24/28 NVMe SSDs
• 31 x 2.5-inch SAS/SATA HDDs or SSDs
Flash storage:
• 2 M.2 SSDs
RAID RAID 0, 1, 10, 1E, 5, 50, 6, or 60
(Optional) Supercapacitor for cache power failure protection
RAID level migration, drive roaming, self-diagnosis, and web-based remote configuration
Network Ports LOM: 2 x 10GE + 2 x GE ports
FlexIO card: 2 x GE, 4 x GE, 2 x 10GE, 2 x 25GE, or 1/2 x 56G FDR IB ports
PCIe Expansion Up to 10 PCIe 3.0 slots, including 1 for a RAID controller card and 1 for a FlexIO card
Fan Modules 4 hot-swappable fan modules with N+1 redundancy
Power Supply Units 2 hot-swappable PSUs with 1+1 redundancy Configurations:
• 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
Operating Temperature 5ºC to 35ºC (41ºF to 95ºF)
Dimensions (H x W x D) Chassis with 3.5-inch hard 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-inch hard drives:
86.1 mm x 447 mm x 708 mm (3.39 in. x 17.60 in. x 27.87 in.)
Model Atlas 800 AI Server
Model: 9000
Form Factor 4U 4-socket rack server
Processors 4 Kunpeng 920 processors
AI Compute Power 2 PFLOPS@FP16
Encoding/Decoding Capability Built-in 32 hardware decoders and is capable to decode 16384 1080P images per second in parallel with training
Cooling Mode Air cooling and liquid cooling
Power Consumption 2 PFLOPS/5.6 kW

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