"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."
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).
This is what I tried to explain. The Tesla K10 GPU only provides video in a VM, not to an external monitor. For external video, you will need to use the built-in Matrox video.
DELL-Geoff P
990 Posts
0
December 23rd, 2013 07:00
Are you trying to use the GPU as a video card? if so, this won't work. You will need to use the onboard video. http://www.dell.com/learn/us/en/04/campaigns/poweredge-gpu?c=us&l=en&s=bsd&cs=04&preview=true&delphi:gr=true
"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."
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).
UZRajpoot
3 Posts
0
December 24th, 2013 22:00
Hi there,
is there any possibilty that we can share GPUZ memory with the VGA .....???
in our scenario it is NVIDIA GPU + metrox G200er VGA .....please update ASAP
UZRajpoot
3 Posts
0
December 25th, 2013 00:00
hope it will explain the issue we are facing ....
DELL-Geoff P
990 Posts
0
December 25th, 2013 05:00
This is what I tried to explain. The Tesla K10 GPU only provides video in a VM, not to an external monitor. For external video, you will need to use the built-in Matrox video.
Regards,
UZRajpoot
3 Posts
0
December 25th, 2013 23:00
Dear GEOFF P,
Refer me a solution except inducting another costly graphic card , I have to sort it out with the available resources I have mentioned in image.
Regards,
UZRajpoot