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GRAND-C422-20D GRAND AI training server system The GRAND-C422-20D is an AI training system which has maximum expansion ability to add in AI computing accelerator cards for AI model training or inference. Intel Xeon W family processor supported 6 x PCIe Slot, up to 4 dual width GPU cards Water cooling system on CPU Support two U.2 SSD Support one M.2 SSD M-key slot ( NVMe PCIe 3.0 x4 ) Support 10GbE network IPMI remote management

Demand for AI computing is booming The application of AI computing is absolutely not enough through the CPU computing. With the decentralized architecture, the huge data is calculated to obtain the computing result. Therefore, we have developed a watercooled chassis system with high expansion capability by adding multiple GPUs, FPGA or VPU acceleration cards for AI deep learning and inference. Hyper converged infrastructure 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. To find out if hyperconverged is the best solution for your Data Center, consider the following.

AI Training System The AI training system GRAND-C442 is dedicated for these tasks because it offers a wide range of slots for storage expansion, acceleration cards and video capture, Thunderbolt or PoE add-on cards for unlimited data acquisition possibilities. In order to develop a useful training model, existing and widely used deep learning training frameworks such as Caffe, Tensor-Flow or Apache MXNet are recommended. These facilitate the definition of the apt architecture and algorithms for a distinct AI application. Supported Software

Expandable to suit your needs AI computing requires huge computing power, so our system can support up to 4 dual-width expansion slots (PCIe x8) and 2 single-width expansion slots (PCIe x4) for maximum expansion ability to meet computing needs. All six of the backplane slots connect directly to the system host board. This is perfect for applications that require minimal latency. U.2 SSD U.2 uses the same concept as a general hard disk. With a connection cable, a hard disk can be installed in the case without occupying the space of the motherboard. Therefore, M.2 and U.2 interfaces can be coexistence because they have different application environment. M.2 is more suitable for laptops or microcomputers, and U.2 is more suitable on a desktop or server. The U.2 interface features high-speed, low-latency, 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. The U.2 interface utilizes the existing physical interface, but the bandwidth is faster. The four-channel design makes the bandwidth upgrade from PCIe x2 to PCIe 3.0 x4, which is several times more than SATA interface. The U.2 interface combines the features of SATA and SAS, and uses the signal pin to fill the connector of the SAS interface. The L-type foolproof design, except the PCIe interface, also compatible with various mainstream hard disc interface such as SATA, SAS and SATA E. READ WRITE SATA SSD 550 SATA SSD 500 M.2 SSD 560 SSD Performance U.2 SSD 800 M.2 SSD 1800 U.2 SSD 2100 MB/s 0 500 1000 1500 2000

Storage (M.2, U.2, SATA) The GRAND-C422-20D support M.2 nvme SSD, U.2 SSD and SATA HDD/SSD. It has a built-in M.2 nvme port and 20 bays of HDD/SSD slots including two U.2 SDD slots. The GRAND-C422-20D supports M.2 solid-state disk which is the next-generation small-sized form factor introduced by Intel after msata. It has better performance than general SATA SSD but it is lighter and more power-saving. Water Cooling System for CPU IEI uses the latest 14nm Intel Xeon Processor W family which uses the LGA2066 interface and Skylake-SP architecture with 4, 6, 8, 10, 14 and 18 core versions. High performance means higher power consumption, therefore IEI designed water cooling system for CPU with smaller size, higher efficiency cooling system makes CPU cooler and keep the high performance, and it can support up to 250W TDP. Water Cooling Air Cooling Cooler Size Small Large Working Noise Small Large Cooling Efficiency Better Worse

Specifications Model Chassis Motherboard Dimensions (H x W x D) System Fan Chassis Construction System Cooling CPU Processor Cooling Chipest Memory Ordering Information GRAND-C422-20D 176.15 mm x 480.94 mm x 644 mm 2 x 120 mm, 12V DC 4U, Rackmount 2 x Cooling Fans with Smart Fan Support LGA-2066 Intel Xeon W family processor Water cooling system C422 Total slot: 4 x DDR4 ECC RDIMM/LRDIMM Memory expandable up to:256gb (4 x 64GB) Security TPM 1 x TPM 2.0 Pin header IPMI IPMI Solution IPMI LAN port, IPMI VGA Storage Networking I/O Interface Internal I/O Indicator Expansion Power Reliability OS 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 Ethernat IC USB 3.1 Gen 1 4 USB 2.0 2 Ethernet Display Buttons COM port USB 3.1 Gen 1 USB 2.0 LEDs LCM PCIe Power Input Power Consumption Type/Watt 1 GbE NIC: Intel i210-at with NCSI support 10 GbE NIC: Aquantia AQC107 1 x 1GbE RJ45 combo LAN ports / IPMI 1 x 10GbE RJ45 LAN port 1 x IPMI VGA display Power button 2 x RS232 pin header 2 x USB 3.1 Gen 1 (5Gb/s) pin header 1 x USB DOM header 10 GbE, Status, LAN, Storage Expansion Port Status LCM, 2 buttons 4 x PCIe 3.0 x8 2 x PCIe 3.0 x4 Operating Temperature 0~40 C Relative Humidity Weight Certification support OS 110-240 AC,47-63Hz In Operation: 285W Redundant Power 1600W 5 to 95% non-condensing, wet bulb: 27 C. 23.59 kg CE/FCC Windows server 2016 Linux Part No. GRAND-C422-20D-S1A1-R10 GRAND-C422-20D-S1B2-R10 GRAND-C422-20D-S1C3-R10 GRAND-C422-20D-S1D3-R10 GRAND-C422-20D-S1E4-R10 Description 20-bay(3.5" x12, 2.5" x 8) 4U Rackmount, Intel Xeon W-2123 with C422 chipset, 32G DDR4 w/ecc, 6 x PCIe expansion slot, and 1600W redundant 20-bay(3.5" x12, 2.5" x 8) 4U Rackmount, Intel Xeon W-2133 with C422 chipset, 64G DDR4 w/ecc, 6 x PCIe expansion slot, and 1600W redundant 20-bay(3.5" x12, 2.5" x 8) 4U Rackmount, Intel Xeon W-2145 with C422 chipset, 128G DDR4 w/ecc, 6 x PCIe expansion slot, and 1600W redundant 20-bay(3.5" x12, 2.5" x 8) 4U Rackmount, Intel Xeon W-2155 with C422 chipset, 128G DDR4 w/ecc, 6 x PCIe expansion slot, and 1600W redundant 20-bay(3.5" x12, 2.5" x 8) 4U Rackmount, Intel Xeon W-2195 with C422 chipset, 256G DDR4 w/ecc, 6 x PCIe expansion slot, and 1600W redundant Options Item Part No. Description Slide rail RAIL-A02-90 Kingslide Rail kit for TS-EC2480U-RP, maximum load 90 kg Packing List 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