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GPU accelerators and coprocessors for PowerEdge servers

PowerEdge GPU Coprocessor
Accelerators are available for the PowerEdge R730, T630 , R720T620 and C8220x servers and the C410x PCIe expansion chassis.

Increase the performance of your PowerEdge data center.

Extract some of the highest levels of performance from your Dell PowerEdge servers through a general-purpose computation on graphics processing units (GPUs) architecture. When you add GPU processing power to the CPU capabilities already available in your PowerEdge servers, you open the door to outstanding performance across hundreds of processing cores.

  • GPUs are high-performance, many-core processors that can be used to accelerate a wide range of applications.
  • Advanced GPU programming methods and toolkits enable easy integration into your data center.
  • GPU processors can be internally installed in standard PCIe slots or connected externally via host interface cards (HICs) through C410x PCIe expansion chassis.
  • To take full advantage of GPU technology, applications need to be programmed and compiled for GPUs using NVIDIA® CUDA® or AMD with OpenCL™ toolkits.

 

Use GPU computing to accelerate applications and enable large-data processing in many types of applications, including:
• Analytics
• Computer-aided design (CAD)
• Data-intensive imaging
• Engineering
• Forecasting
• Life sciences
• Media, entertainment and animation
• Multiapplication environments
• Research

                       Poweredge GPU 
What is GPU computing?

GPU computing is the use of a GPU as a coprocessor in tandem with a CPU to accelerate CPU intensive applications typically used in scientific and engineering domains. GPUs are also being used in virtual desktop environments.

The GPU accelerates applications running on the CPU by off-loading some of the compute-intensive and time-consuming portions of the application code. The rest of the application still runs on the CPU. From a user’s perspective, the application may run faster because it’s using the massively parallel processing power of the GPU to boost performance. This is known as “heterogeneous” or “hybrid” computing.

In the 1999–2000 time frame, computer scientists, along with researchers in fields such as medical imaging and electromagnetics, started using GPUs to accelerate a range of scientific applications. This was the advent of the movement called GPGPU or general purpose GPU computing.

A CPU consists of four to sixteen CPU cores, while a GPU consists of hundreds of smaller cores. Together, they operate to crunch through the data in the application. This massively parallel architecture is what gives the GPU its high compute performance. There are a number of GPU-accelerated applications that can provide easy access high-performance computing (HPC).

Card Option

AMD

AMD FirePro™ S9050/S7000/W7000
• Focused on virtual device interface (VDI) and
  visualization environments
• Double-wide form factor (S9000)
• Single-wide form factor (S7000/W7000)
• Up to 225W and over 1200 cores
• PCIe Gen 3
AMD FirePro S9000/S7000/W7000
Dell does not support local DVI/Display Port connections on Graphics cards. These cards are designed to be used as VDI devices and support virtualized graphics.

 GPU for Virtualization and Graphics — AMD
BrandAMD FireproAMD Firepro AMD Firepro AMD Firepro
ModelS9050S9000S7000W7000
Dell ServersPE R730PE R730PE R730
PE R720
PE T620
PE T630
PRVRTX
Cores/Processors1792179212801280
Memory12GB GDDR56GB GDDR54GB GDDR54GB GDDR5
Max Power Consumption225W225W150W150W
Single Precision3.23 TFLOPS3.23 TFLOPS2.4 TFOPS2.4 TFOPS
Dual Precision806 GFLOPS806 GFLOPS152 GFLOPS152 GFLOPS
CoolingPassivePassivePassiveActive
WidthDouble WideDouble WideSingle WideSingle Wide
LengthFull LengthFull LengthFull LengthFull Length
HeightFull HeightFull HeightFull HeightFull Height
*above GPU options may also be utilized in compute environments


 Coprocessors for Compute — Intel®
 
BrandIntel® Xeon
Phi™
Intel® Xeon
Phi™
Intel® Xeon
Phi™
Intel® Xeon
Phi™
Intel® Xeon
Phi™
Model7120P7120A5110P3120P3120A
Dell ServersPE R730
PE R720
PE C8220X
PE T630PE R730
PE R720
PE C410X
PE 8220X
PE R730PE T630
PE T620
Cores/Processors6161605757
Memory*16GB
GDDR5
16Gb
GDDR5
8GB
GDDR5
6GB
GDDR5
6GB
GDDR5
Max Power Consumption300W300W225W300W300W
Single Precision2.44
TFLOPS
2.44
TFLOPS
2.022
TFLOPS
2.006
TFLOPS
2.006
TFLOPS
Dual Precision1.220
TFLOPS
1.220
TFLOPS
1.053
TFLOPS
1.003
TFLOPS
1.003
TFLOPS
CoolingPassiveActivePassivePassiveActive
WidthDouble WideDouble WideDouble WideDouble WideDouble Wide
LengthFull LengthFull LengthFull LengthFull LengthFull Length
HeightFull HeightFull HeightFull HeightFull Height Full Height


 GPU for Compute — NVIDIA  
BrandNVIDIA TeslaNVIDIA TeslaNVIDIA TeslaNVIDIA TeslaNVIDIA Tesla 
ModelK10K20MK20CK20XK40
Dell ServersPE R730
PE R720
PE C8220X
PE R730
PE R720
PE C8220X
PE T630
PE T620
PE R730PE R730
PE R720
PE C8220X
Cores/Processors30722496249626882880
Memory8GB GDDR55GB GDDR55GB GDDR56GB GDDR512GB GDDR5
Max Power Consumption225W225W225W235W235W
Single Precision4.58 TFLOPS3.52 TFLOPS3.52 TFLOPS3.95 TFLOPS4.39 TFLOPS
Dual Precision190 GFLOPS1.17 TFLOPS1.17 TFLOPS1.31
TFLOPS
1.43
TFLOPS
CoolingPassivePassiveActivePassivePassive
WidthDouble WideDouble WideDouble WideDouble WideDouble Wide
LengthFull LengthFull LengthFull LengthFull LengthFull Length    
HeightFull HeightFull HeightFull HeightFull HeightFull Height




  GPU for Virtualization and Graphics — NVIDIA
BrandNVIDIA Quadro®NVIDIA Quadro®NVIDIA GRIDNVIDIA GRIDNVIDIA GRID
ModelK2000K4000K1K2K2 Active
Dell Servers

PE R720
PE T620

PE R720
PE T620

PE R730
PE R720
PE R730
PE R720
PE C8220X
PE T630
PE T620
PE VRTX
Cores/Processors38476876830723072
Memory2GB GDDR53GB GDDR516GB GDDR38GB GDDR58GB GDDR5
Max Power Consumption51W80W130W225W240W
Single Precision733 GFLOPS1.246 TFLOPSNANANA
Dual Precision NANANA
CoolingActiveActivePassivePassiveActive
WidthSingle WideSingle WideDouble WideDouble WideDouble Wide
LengthFull LengthFull LengthFull LengthFull LengthFull Length
HeightFull HeightFull HeightFull HeightFull HeightFull Height


Dell HPC Solutions

At the core of Dell's high-performance computing (HPC) solution is a modular HPC infrastructure stack built from industry-standard hardware components and best-of-breed partner products. These solutions offer the performance and scalability required by the most demanding applications at a fraction of the cost of proprietary systems.

With partners in each of the key sections of an HPC solution, we can design your solution through a building-block strategy that’s tested and validated for performance and reliability. Below are the key building blocks:

• Compute Platform — Dell rack-mounted servers, blades and shared-infrastructure systems
• Processors and accelerators
• Operating system
• Provisioning and system management software
• Middleware and development tools — Dell offers flexibility with the choice of standards-based message passing libraries, including MPICH, MPICH-GM and MVAPICH, supporting available interconnect options. Dell and its partners also offer a broad selection of comprehensive development toolkits, including compilers, math libraries and system and development tools.
• Interconnect technologies
• Storage

Learn more at Dell HPC Solutions.
Desktop Virtualization Solutions (DVS) Enterprise

Accelerate remote access to 3D virtualized graphics applications with Desktop Virtualization Solutions (DVS) Enterprise. Designers, engineers and business professionals can be more productive and highly collaborative across the enterprise through accelerated access to multimedia and graphics-intensive applications from virtually anywhere, on virtually any device. DVS Enterprise connects and accelerates business by allowing your team to view, display and interact with high-end graphics and multimedia content reliably and securely.