Demo: Using NVIDIA GPUs with Jupyter Notebooks on Red Hat OpenShift

GPUs can provide significant performance benefits for training machine learning models. In this video, we show how this can be done with Red Hat OpenShift, Jupyter Notebooks, and TensorFlow.

In partnership with NVIDIA, Red Hat OpenShift uses special Kubernetes Operators to automate the installation and configuration necessary to leverage GPUs in a Kubernetes environment. OpenDataHub provides JupyterHub as well as several other best-of-breed open source ML projects, neatly integrated with Red Hat OpenShift to make them self-service and easy to use.

[hadarpinhas]

note change in the conv part in the video from the file, in the net equal something
def conv_fn():
image = tf.random.normal((100, 100, 100, 3))
net = tf.keras.layers.Conv2D(32, 7)(image)
return tf.reduce_sum(net)

[kaant]

my gpu only 2 times better than my cpu. :( ı dont know how to fix it I have 3070ti gpu