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GRAND AI Training Server System
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GRAND-C422 |
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Intel® Xeon® W family processor supported
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PEMUX single board computer supports up to 56-lane PCIe signal
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Water cooling system on CPU
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Support two U.2 SSD
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Support one M.2 SSD M-key slot (NVMe PCIe 3.0 x4)
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Support 10GbE network
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Expandable to Suit Your Needs
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Support up to 4 GPU card expansion slots (dual-width PCIe x8) and 2 single-width expansion slots (PCIe x4) for max. expansion ability to meet computing needs. |
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Six backplane slots connected directly to the system host board to minimize latency. |
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High-Speed Storage Transmission
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The U.2 SSD interface features high-speed, low-latency and low-power NVMe standard protocol, and PCIe 3.0 x4 channel. The theoretical transmission speed is up to 32Gbps, while SATA is only 6Gbps, which is 5 times faster than SATA.
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High Capacity Storage
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The GRAND-C422-20D supports M.2 NVMe SSD, U.2 SSD and SATA HDD/SSD. It has a built-in M.2 NVMe port and 20 HDD/SSD bays including two U.2 SDD slots. It supports M.2 solid-state disk which is the next-gen. small-sized form factor introduced by Intel® to offer better performance and power-saving.
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Water Cooling System
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IEI designs a higher-efficiency, compact water cooling system for the latest 14nm Intel® Xeon® Processor W family to cool the CPU and keep the high performance. The water cooling system can support up to 250W TDP.
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Hyper Converged Infrastructure
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Hyper converged infrastructure (HCI) is scale-out software-defined infrastructure that converges core data services on flash-accelerated, industry-standard servers, delivering flexible and powerful building blocks under unified management.
Efficient, agile, flexible, and integrated, these systems allow for easy scale-out storage, cost-savings, and simplicity to manage your systems. It is the best solution for your data center.
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AI Training System
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The GRAND-C442 is dedicated for AI training tasks based on its wide range of slot support for storage expansion, accelerator cards, video capture, Thunderbolt ™ or PoE add-on cards for unlimited data acquisition possibilities. In order to develop a useful training model, those existing and widely used deep learning training frameworks are recommended.
IEI offers different accelerator cards to facilitate AI inference computing. By combining Mustang-F100-A10, Mustang-V100-MX8 and GPU cards with the GRAND-C422, a complete AI ready solution is easily achieved.
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Model Name |
GRAND-C422-20D |
Chassis |
Dimensions (WxHxD) |
176.15 mm x 480.94 mm x 644 mm |
System Fan |
2 x 120 mm, 12V DC |
Chassis Construction |
4U, Rackmount |
System Cooling |
2 x Cooling Fans with Smart Fan |
Motherboard |
CPU |
Support LGA-2066 Intel® Xeon® W family processor |
Processor Cooling |
Water cooling system |
Chipset |
C422 |
Memory |
Total slot: 4 x DDR4 ECC RDIMM/LRDIMM |
Memory expandable up to:256GB (4 x 64GB) |
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Security |
TPM |
1 x TPM 2.0 Pin header |
IPMI |
IPMI Solution |
IPMI LAN port, IPMI VGA |
Storage |
Hard Drive |
12 x 2.5" / 3.5" drive bay
8 x 2.5" drive bay |
M.2 |
1 x M.2 built in on SBC |
U.2 |
2 x U.2 SSD drive bay compatible to SATA |
Networking |
Ethernat IC |
1 GbE NIC: Intel® i210-AT with NCSI support
10 GbE NIC: Aquantia AQC107 |
I/O Interfaces |
USB 3.0 |
4 |
USB 2.0 |
2 |
Ethernet |
1 x 1GbE RJ45 combo LAN ports / IPMI 1 x 10GbE RJ45 LAN port |
Display |
1 x IPMI VGA display |
Buttons |
Power button |
Internal I/O |
COM port |
2 x RS232 pin header |
USB 3.0 |
2 x USB 3.0 pin header |
USB 2.0 |
1 x USB DOM header |
Indicator |
LEDs |
10 GbE, Status, LAN, Storage Expansion Port Status |
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LCM |
LCM, 2 buttons |
Expansions |
PCIe |
4 x PCIe 3.0 x8
2 x PCIe 3.0 x4 |
Power |
Power Input |
110-240 AC,47-63Hz |
Power Consumption |
In Operation: 285W |
Type/Watt |
Redundant Power 1600W |
Reliability |
Operating Temperature |
0~40°C |
Relative Humidity |
5 to 95% non-condensing, wet bulb: 27˚C. |
Weight |
23.59 kg |
Certification |
CE/FCC |
OS |
Supported OS |
Windows server 2016
Linux |
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Flat head screws (for 2.5” HDD) |
Flat head screws (for 3.5” HDD) |
1 x Cat5e LAN cable |
1 x QIG |
2 x Power cord |
1 x Cat6A LAN cable |
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