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Hello Everyone,
I am struggling with creating a Tensorflow Development Virtual Machine to take the certification exam. I have created a VM on Azure using Tesla T4 GPU (sku: Standard NC4as T4 v3) on Windows 10. I have installed Cuda 11.8 and cudnn 8.6 to satisfy tensorflow 2.13.x requirement. I am unable to access gpu with my tensorflow.
Should keep on pursuing vm route or should I just rely on Google Colab which is using tf 2.15?
Any help in this regards will be highly appreciated.
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Hello Everyone,
I am struggling with creating a Tensorflow Development Virtual Machine to take the certification exam. I have created a VM on Azure using Tesla T4 GPU (sku: Standard NC4as T4 v3) on Windows 10. I have installed Cuda 11.8 and cudnn 8.6 to satisfy tensorflow 2.13.x requirement. I am unable to access gpu with my tensorflow.
Should keep on pursuing vm route or should I just rely on Google Colab which is using tf 2.15?
Any help in this regards will be highly appreciated.
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