Azure is the brand name under which Microsoft is offering its cloud computing services. Some of the main services offered within the Microsoft Azure platform are:
Here's an infographic to view the main Azure offerings at-a-glance: https://azure.microsoft.com/en-us/resources/infographics/azure/. And here you can browse through and filter all Azure products by category.
After spending more than 5 hours, i found this easy solution:
-To verify that the system has a CUDA-capable GPU, run the following command:
lspci | grep -i NVIDIA
You will see output similar to the following example (showing an NVIDIA Tesla K80/M60 card):
-Disabling the nouveau driver:
sudo -i rmmod nouveau
-After a reboot:
sudo reboot, verify the driver is installed properly by issuing:
lsmod | grep -i nvidia
-Next, download the CUDA package from Nvidia, ...
-... make it known to apt-get and install the CUDA Toolkit:
sudo dpkg -i cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb sudo apt-get update sudo apt-get install -y cuda
-Now we can check the status of the GPU(s) by running:
Next, we download cuDNN...
-... unzip, copy the lib64 and include folders:
tar -zxf cudnn-8.0-linux-x64-v5.1.tgz sudo cp cuda/lib64/* /usr/local/cuda/lib64/ sudo cp cuda/include/* /usr/local/cuda/include/ sudo rm -R cuda
-Time to do some clean up and remove the downloaded archives:
rm cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb rm cudnn-8.0-linux-x64-v5.1.tgz
To install Tensorflow with CPU/GPU , go here :