Ubuntu 16.04 doesn't recognize my gtx 1050ti graphic card


up vote
1
down vote
favorite
I have a dual boot pc (win 10 and Ubuntu 16.04).
I was going to install caffe on my Ubuntu according to instructions I found in web, before installing caffe I have to install nvidia drivers and cuda.
so I followed the instruction on the below link to install nvidia driver
https://linuxconfig.org/how-to-install-the-latest-nvidia-drivers-on-ubuntu-16-04-xenial-xerus
but when I run
$ lspci -vnn | grep VGA
the output do not show my graphic card model,it is:
01:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c82] (rev a1) (prog-if 00 [VGA controller])
I think Ubuntu does not recognize my graphic card, and I don't know how to fix it.
Also I should say I'm a beginner in linux.
I will be so grateful if anyone help me.
nvidia graphics
add a comment |Â
up vote
1
down vote
favorite
I have a dual boot pc (win 10 and Ubuntu 16.04).
I was going to install caffe on my Ubuntu according to instructions I found in web, before installing caffe I have to install nvidia drivers and cuda.
so I followed the instruction on the below link to install nvidia driver
https://linuxconfig.org/how-to-install-the-latest-nvidia-drivers-on-ubuntu-16-04-xenial-xerus
but when I run
$ lspci -vnn | grep VGA
the output do not show my graphic card model,it is:
01:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c82] (rev a1) (prog-if 00 [VGA controller])
I think Ubuntu does not recognize my graphic card, and I don't know how to fix it.
Also I should say I'm a beginner in linux.
I will be so grateful if anyone help me.
nvidia graphics
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I have a dual boot pc (win 10 and Ubuntu 16.04).
I was going to install caffe on my Ubuntu according to instructions I found in web, before installing caffe I have to install nvidia drivers and cuda.
so I followed the instruction on the below link to install nvidia driver
https://linuxconfig.org/how-to-install-the-latest-nvidia-drivers-on-ubuntu-16-04-xenial-xerus
but when I run
$ lspci -vnn | grep VGA
the output do not show my graphic card model,it is:
01:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c82] (rev a1) (prog-if 00 [VGA controller])
I think Ubuntu does not recognize my graphic card, and I don't know how to fix it.
Also I should say I'm a beginner in linux.
I will be so grateful if anyone help me.
nvidia graphics
I have a dual boot pc (win 10 and Ubuntu 16.04).
I was going to install caffe on my Ubuntu according to instructions I found in web, before installing caffe I have to install nvidia drivers and cuda.
so I followed the instruction on the below link to install nvidia driver
https://linuxconfig.org/how-to-install-the-latest-nvidia-drivers-on-ubuntu-16-04-xenial-xerus
but when I run
$ lspci -vnn | grep VGA
the output do not show my graphic card model,it is:
01:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c82] (rev a1) (prog-if 00 [VGA controller])
I think Ubuntu does not recognize my graphic card, and I don't know how to fix it.
Also I should say I'm a beginner in linux.
I will be so grateful if anyone help me.
nvidia graphics
nvidia graphics
edited Apr 10 at 8:32
asked Apr 10 at 7:47
b.abbs
62
62
add a comment |Â
add a comment |Â
1 Answer
1
active
oldest
votes
up vote
0
down vote
I don't think thats an issue. Your output matches what I see on my Ubuntu 16.04 with GTX 1060. I have it setup to use cuDNN and CUDA with Tensorflow and it works well.
Here is my output for lspci -vnn | grep VGA
:
65:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c03] (rev a1) (prog-if 00 VGA controller])
Once you have CUDA setup you could run one of the sample programs, such as deviceQuery:
http://docs.nvidia.com/cuda/cuda-samples/index.html#device-query
This should give you more details on the specific GPU model, along with confirming CUDA is working properly.
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
I don't think thats an issue. Your output matches what I see on my Ubuntu 16.04 with GTX 1060. I have it setup to use cuDNN and CUDA with Tensorflow and it works well.
Here is my output for lspci -vnn | grep VGA
:
65:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c03] (rev a1) (prog-if 00 VGA controller])
Once you have CUDA setup you could run one of the sample programs, such as deviceQuery:
http://docs.nvidia.com/cuda/cuda-samples/index.html#device-query
This should give you more details on the specific GPU model, along with confirming CUDA is working properly.
add a comment |Â
up vote
0
down vote
I don't think thats an issue. Your output matches what I see on my Ubuntu 16.04 with GTX 1060. I have it setup to use cuDNN and CUDA with Tensorflow and it works well.
Here is my output for lspci -vnn | grep VGA
:
65:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c03] (rev a1) (prog-if 00 VGA controller])
Once you have CUDA setup you could run one of the sample programs, such as deviceQuery:
http://docs.nvidia.com/cuda/cuda-samples/index.html#device-query
This should give you more details on the specific GPU model, along with confirming CUDA is working properly.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
I don't think thats an issue. Your output matches what I see on my Ubuntu 16.04 with GTX 1060. I have it setup to use cuDNN and CUDA with Tensorflow and it works well.
Here is my output for lspci -vnn | grep VGA
:
65:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c03] (rev a1) (prog-if 00 VGA controller])
Once you have CUDA setup you could run one of the sample programs, such as deviceQuery:
http://docs.nvidia.com/cuda/cuda-samples/index.html#device-query
This should give you more details on the specific GPU model, along with confirming CUDA is working properly.
I don't think thats an issue. Your output matches what I see on my Ubuntu 16.04 with GTX 1060. I have it setup to use cuDNN and CUDA with Tensorflow and it works well.
Here is my output for lspci -vnn | grep VGA
:
65:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:1c03] (rev a1) (prog-if 00 VGA controller])
Once you have CUDA setup you could run one of the sample programs, such as deviceQuery:
http://docs.nvidia.com/cuda/cuda-samples/index.html#device-query
This should give you more details on the specific GPU model, along with confirming CUDA is working properly.
edited Apr 10 at 14:35
answered Apr 10 at 11:17


Omer Waseem
33
33
add a comment |Â
add a comment |Â
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2faskubuntu.com%2fquestions%2f1023553%2fubuntu-16-04-doesnt-recognize-my-gtx-1050ti-graphic-card%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
var $window = $(window),
onScroll = function(e)
var $elem = $('.new-login-left'),
docViewTop = $window.scrollTop(),
docViewBottom = docViewTop + $window.height(),
elemTop = $elem.offset().top,
elemBottom = elemTop + $elem.height();
if ((docViewTop elemBottom))
StackExchange.using('gps', function() StackExchange.gps.track('embedded_signup_form.view', location: 'question_page' ); );
$window.unbind('scroll', onScroll);
;
$window.on('scroll', onScroll);
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password