Can I GEFORCE GTX 960M for deeplearning

Dear All,

When I check my NVIDIA control panel, it shows that my laptop has GEFORCE GTX 960M GPU, I am not sure I can use it during deep learning or not?

if yes, I only need to set the 'execution environment' to GPU in training option, right?or is there any other setting that I should do?

Reagrds

[Walter Roberson]

Yes the Cuda 5.0 capacity is supported. Memory will be a bit tight for it. Install the latest Nvidia drivers.

[Negar Noorizadeh]

Thanks for your response, for installing the latestes version should I use this link?

if yes, do you have any idea that what should I select for 'Windows Driver Type' (standard or DCH)and 'Download Type'(game ready driver or creator ready driver)?

https://www.nvidia.com/Download/index.aspx?lang=en-us

Answer 1

[Shivam Sardana]

Considering CUDA and cuDNN installed. To access and get information about GPU, run the following command:

GpuDevice

GPU, multi-GPU, and parallel options require Parallel Computing Toolbox. To use a GPU for deep learning, you must also have a CUDA® enabled NVIDIA® GPU with compute capability 3.0 or higher.

To use GPU for deep learning, set 'ExecutionEnvironment' in ‘trainingOptions’ as 'gpu'. By default, ‘trainingOptions’ take GPU by default.

Hope this helps.

Answer 2

[Prathamesh Degwekar]

Hi,

According to the current scenario, DCH is the way to go as seen in the article from intel here:

https://www.intel.com/content/www/us/en/support/articles/000031572/programs/intel-corporation.html

On the other question, you can go with either of the two. Their difference can be found here.

https://blogs.nvidia.com/blog/2019/03/20/rtx-creator-ready-drivers-supercharge-apps/