QuantaGrid D52G-4U
All-in-one Box Prevails over AI and HPC challenge
- Up to 8x NVIDIA® Tesla® V100 with NVLink™ support up to 300GB/s GPU to GPU communication
- Up to 10x dual-width 300 Watt GPU or 16x single-width 75 Watt GPU support
- Diversify GPU topology to Conquer Any Type of Parallel Computing Workload
- Up to 4x100Gb/s High Bandwidth RDMA-enabled Network to Scale Out with Efficiency
- 8x NVMe Storage to Accelerate Deep Learning
技术支持来自
Swiftly training the deep learning models with maximize eight GPU featuring with NvlinkTMWith NVLinkTM to support up to 300GB/s GPU to GPU commnucation, D52G-4U can shorten model-training time-frame, which is 40x faster than conventional server on processing 408GB Chest X-ray images. |
Up to 10x dual-width 300 watt GPU or 16x single-width 75 Watt GPU supportAs an purpose-built system for Artificial Intelligent (AI) and High-Performance Computing(HPC) workloads, QuantaGrid D52G-4U can deliver up to 896 tensor Tflops to training deep learning model with eight* NVIDIA® Tesla V100 dual-width 10.5 inch or provides up to 293 GOPS/watt of peak INT8 performance to do inferencing with sixteen NVIDIA® Tesla P4 and 2-socket Intel® Xeon® Scalable processor; up to 56 double precision Tflops computing power can accelerate HPC workloads such as Oil & Gas, bioinformatics, Mechanical Engineering. On top of superior computing power, D52G is of 2x100Gb/s high bandwidth low-latency networking to expedite communication among different GPU nodes |
Diversify GPU Topology to Conquer Any Type of Parallel Computing WorkloadThe QuantaGrid D52G provides multiple GPU topology on the same baseboard tray to meeting your different use case. |
High-Bandwidth, Low-latency Networking Between GPU NodesThe QuantaGrid D52G-4U have additional two/four PCIe Gen3x16 LP-MD2 slot to provide optional two/four 100Gb/s low-latency infiniband or Intel®Omni Path options to do GPUDirect in the server or RDMA between different GPU nodes. |
NVMe SSD Support to Accelerate Deep LearningThe D52G-4U support max. 8x NVMe SSD, which can accelerate both training and inferencing with Fast I/O data reading as deep learning is a data-driven algorithm. |
认证
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| 处理器 | |
|---|---|
| Processor Family |
Intel®Xeon® Processor Scalable Family
|
| 处理器类型 |
Intel®Xeon® Processor Scalable Family
|
| 最大散热设计功耗支援 |
165W
|
| 处理器数量 |
2 Processors
|
| 内部互连 |
9.6/10.4 GT/s
|
| 主板规格 | |
|---|---|
| 主板规格 |
4U
|
| 尺寸 | |
|---|---|
| W x H x D （英呎） |
17.5 x 7x 34.6
|
| W x H x D （毫米） |
444x 177.8x 880
|
| 芯片组 | |
|---|---|
| 芯片组 |
Intel® C621
|
| 存储 | |
|---|---|
| 存储 |
NVMe support
2.5" Hot-plug
|
| SKU - #1 |
(24) 2.5" hot-plug SATA/SAS SSD
or (20) 2.5" hot-plug SATA/SAS SSD + (4) 2.5" hot-plug NVMe or (8) 2.5" hot-plug NVMe |
| 存储器 | |
|---|---|
| 總插槽 |
24
|
| 容量 |
Up to 3TB (128Gx24) of memory for RDIMM/LRDIMM
2933Mhz DDR4 RDIMM/LRDIMM
Up to (12) 2666Mhz Intel® Optane™ DC Persistent Memory (DCPMM)
|
| 内存类型 |
2666 MHz DDR4 RDIMM
2933Mhz DDR4 RDIMM/LRDIMM
Up to (12) 2666Mhz Intel® Optane™ DC Persistent Memory (DCPMM)
|
| 内存大小 |
64GB, 32GB, 16GB, 8GB RDIMM
16G, 32G, 64G 2933Mhz RDIMM/LRDIMM
128G, 256G, 512G Intel DCPMM
(Refer to CCL)
|
| 扩充插槽 | |
|---|---|
| Expansion Slot_Motherboard |
(1) PCIe Gen3 x 8 OCP 2.0 mezzanine slot (can switch to U.2)
(1) PCIe Gen3 x 8 optional SAS mezzanine slot (can switch to U.2) (1) PCIe Gen3 x 8 FHHL(can switch to U.2) + (1) PCIe Gen3 x 8 LP-MD2 (can switch to U.2) or optional (1) PCIe Gen3 x16 LP-MD2 |
| Expansion Slot_GPGPU baseboard |
[Option 1]
(8) PCIe Gen3 x 16, SXM2 slot (4) PCIe Gen3 x16, LP-MD2 [Option 2] (8) PCIe Gen3 x16, dual-width FHFL + (2) PCIe Gen3 x16, LP-MD2 or (10)PCIe Gen3 x16 dual-width FHFL [Option 3] (20) PCIe Gen3 x16, single-width FHFL or (16) PCIe Gen3 x16, single-width FHFL + (4) PCIe Gen3 x16, LP-MD2 |
| 网络控制器 | |
|---|---|
| 局域网在主板技术 |
Dedicated (1) GbE management port
|
| 选配网卡 |
Please refer to our Compatible Component List for more information
|
| 前端I/O端口 | |
|---|---|
| 前端I／O端口 |
Power/ID/Reset Buttons
Power/ID/Status LEDs (2) USB ports (1) VGA port (Display Priority: First; one device one time) |
| 存储控制器 | |
|---|---|
| 选配控制器 |
Quanta LSI® 3008 12Gb/s SAS mezzanine, RAID 0,1,10
Quanta LSI® 3108 12Gb/s RAID mezzanine, RAID 0, 1, 5, 6,10 (Please refer to our Compatible Component List for more information) |
| 电源 | |
|---|---|
| 电源 |
3+1 high efficiency hot-plug 1600W PSU, 80 Plus Platinum (200V-240V)
|
| 机载存储 | |
|---|---|
| 机载存储 |
(2) SATADOM (option)
|
| 风扇 | |
|---|---|
| 风扇 |
(4) dual rotor fans (7+1 redundant)
|
| 影像 | |
|---|---|
| 影像 |
Integrated ASPEED AST2500 8MB DDR4 video memory
|
| 系统管理 | |
|---|---|
| 系统管理 |
Redfish v1.0.2
IPMI v2.0 Compliant, on board "KVM over IP" support |
| 后端I/O端口 | |
|---|---|
| 后端I/O端口 |
(2) USB 3.0 ports
(1) VGA port (Display Priority: Second; one device one time) (1) RS232 serial port (1) GbE RJ45 management port (1) ID LED (1) MicroSD slot |
| 操作环境 | |
|---|---|
| 操作环境 |
Operating temperature*: 5°C to 30°C (41°F to 86°F)
Non-operating temperature: -40°C to 70°C (-40°F to 158°F) Operating relative humidity: 20% to 85%RH. Non-operating relative humidity: 10% to 95%RH *Certain configuration support higher operating temperature or lower CPU TDP. Please contact local sales for more detail; The performance of the system may be impacted when operating over the maximum temperature limit. |
| 可信任平台模块 | |
|---|---|
| 可信任平台模块 |
TPM 2.0
|
| 重量（限重） | |
|---|---|
| 重量（限重） |
61.5 (Kg)
|
EXALIT Pte Ltd - 代理商 / 系统集成商
221 Henderson Rd, #08-14 Henderson Building, Singapore 159557
Phone +65 65918608