Need to do 560 Teraflops in a Single Rack..?
The D52G-4U also known as D5G is the world's fastest GPU server. Hyperconverged: 8 * NVMe with up to 16 * GP-GPU the D5G does 56 Double Precision Teraflops in 4U. It is ideal for: Big Data, Deep learning, Artificial Intelligence and Inferencing. D52G boasts: NVLink™ support up to 300GB/s GPU to GPU communication | 10x dual-width 300 Watt GPU | 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.
Deep learning with up to 16 GPU featuring with NvlinkTM
With NVLinkTM to support up to 300GB/s GPU to GPU communication, D52G-4U can shorten model-training time-frame, which is 40x faster than conventional server on processing 408GB Chest X-ray images.
10x dual-width 300 watt GPU or 16x single-width 75 Watt GPU support
As 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 Workload
The QuantaGrid D52G provides multiple GPU topology on the same baseboard tray to meeting your different use case.
High-Bandwidth, Low-latency Networking Between GPU Nodes
The 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 Learning
The 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.
Processor | |
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Processor Type | Intel®Xeon® Processor Scalable Family |
Max. TDP Support | 165W |
Number of Processors | 2 Processors |
Internal Interconnect | 9.6/10.4 GT/s |
Form Factor | |
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Form Factor | 4U |
Dimensions | |
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W x H x D (inch) | 17.5 x 7x 34.6 |
W x H x D (mm) | 444x 177.8x 880 |
Chipset | |
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Chipset | Intel® C621 |
Storage | |
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Default Configuration | 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 |
Memory | |
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Total Slots | 24 |
Capacity | Up to 3TB (128Gx24) of memory for RDIMM/LRDIMM |
Memory Type | 2666 MHz DDR4 RDIMM |
Memory Size | 64GB, 32GB, 16GB, 8GB RDIMM (Refer to CCL) |
Expansion Slot | |
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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 |
Network Controller | |
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LOM | Dedicated (1) GbE management port |
Optional NIC | Please refer to our Compatible Component List for more information |
Front I/O | |
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Front I/O | Power/ID/Reset Buttons Power/ID/Status LEDs (2) USB ports (1) VGA port (Display Priority: First; one device one time) |
Storage Controller | |
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Optional Controller | 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) |
Power Supply | |
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Power Supply | 3+1 high efficiency hot-plug 1600W PSU, 80 Plus Platinum (200V-240V) |
Onboard Storage | |
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Onboard Storage | (2) SATADOM (option) (2) 2280/2210 SATA/PCIe M.2 (option) |
Fan | |
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Fan | (4) dual rotor fans (7+1 redundant) |
Video | |
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Video | Integrated ASPEED AST2500 8MB DDR4 video memory |
System Management | |
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System Management | Redfish v1.0.2 IPMI v2.0 Compliant, on board "KVM over IP" support |
Rear I/O | |
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Rear I/O | (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 |
Operating Environment | |
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Operating Environment | 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. |
TPM | |
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TPM | TPM 2.0 |
Weight (Max. Configuration) | |
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Weight (Max. Configuration) | 61.5 (Kg) |
Title | Version | Date | Size | |
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D52G-4U Datasheet | v20180504 | 04/05/2018 | 371 KB |
Title | Version | Date | Size | |
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HS Product Catalog | 1 | 01-10-20 | 6371KB |
Title | Version | Date | Size | |
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D52G-4U CCL | 20/03/2018 | 359 KB |
Title | Version | Date | Size | |
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D52G-4U FRU Parts List |
Title | Version | Date | Size | |
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D52G-4U BIOS | 3A14.Q301 | 05/06/2019 | 23.38 MB |
Title | Version | Date | Size | |
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D52G-4U BMC | 4.73.00 | 04/07/2019 | 62.04 MB |
Title | Version | Date | Size | |
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D52G-4U Drivers Linux |
Title | Version | Date | Size | |
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D52G-4U Drivers Windows |
S5G | D52G-4U
Prevail over AI and HPC challenges
- NVLink™ support up to 300GB/s GPU to GPU communication
- 10x dual-width 300 Watt GPU
- 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
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$USD $15,600.00
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