HOME > Product > GPU/Deep Learning > AI high-peMulti GPU for AI&DL >

KG 4208-G4 GPU workstation

4U/tower structure supports 4 GPU computing cards
based on Intel E5-2600V4 series processors;

igh-performance highly stable computing platform;


CPU: Intel® Xeon® E5-2620V4 10-core 2.2GHz

Memory: 16GB DDR4 ECC RDIMM

GPU: NVIDIA RTX 2080TI

Hard Disk: 240GB Data Center SSD

Network: Intel®i350 dual gigabit network

Power supply: 2000W 1+1 platinum power supply


Price : $5000.00
Basic configuration for reference only


Features
Heterogeneous acceleration

Supports 2 Intel® Xeon® E5-2600V4 series processors and at the same time with the help of 4 NVIDIA's latest Volta architecture GPU accelerators CUDA core 

Tensor core RT core and other features the processing speed of the CPU is increased by dozens of times.


Stable and reliable  

The unique GPU heat dissipation design is used to ensure the effective heat dissipation of the GPU without frequency reduction; 

the power supply module adopts a 2000W platinum-level power supply and a 1+1 redundancy design 

which allows the system to not shut down and work without interruption in the event of a power module failure.


Out of the box

The ubuntu operating system deep learning SDK (CUDA cuDNN NCCL) deep learning frameworks including Caffe TensorFlow PyTorch MXNet

and all necessary drivers are pre-installed before the factory and delivered in the form of containers. Shorten the software deployment cycle 

which takes several days and use it out of the box to improve work efficiency.


Application scenario
HPC deep learning GPU virtualization graphics rendering oil and gas exploration and other computationally intensive applications.
Specifications

Specifications

4U tower / rack type; 178mm × 462mm × 673mm (H × w × d)

CPU

Intel® Xeon®E5-2600v4 series processorTDP 160W

Chipset

Intel®  C612

QPI

9.6 GT/s

Memory

16 DIMM sockets, supporting 2TB DDR4 3DS ECC rdimm 2400 / memory

storage

8 SAS / SATA 6gbps 3.5 inch / 2.5 inch hot swappable hard disks

GPU

4 pieces NVIDIA Tesla V100 / P100 / P40 / P4 / T4, RTX 2080ti, RTX Titan

network

Intel® i350 1000Mb dual port network

PCIe extension

 4 PCI-E 3.0 x16 slots    2 PCI-E 3.0 x8 (1 in x16) slots    1 PCI-E 2.0 x4 (in x8) slot;

display

Aspeed AST2400

Administration

IPMI 2.0 

Other interfaces

VGAUSB 2.0, 2×USB 3.0IPMI

Power Supply

2000W 1+1 platinum power supply

OS

Windows 7/8.1/10/2008R2/2012R2

Centos/Redhat 6.5/7.0; Suse SLES 11sp4/12sp2

Ubuntu 16.04; Vmware ESXI 6.2; Xen Server 6.2

working temperature

10℃~35

Working humidity

8%-90%RH

上一篇:没有了

SALES:(+86) 135 5249 6467 skype:353043744@qq.com    Email:yj@jpgd.cn

ADD:4th Street, Shangdi, Haidian District, Beijing, China

Inquiry Us Now !

Copyright (c) 2020 jpgpu.com All Rights Reserved