05 (Part 2) Setup of Jupyter Python Notebook on Azure cloud on GPU VM
CPUs have long been the workhorse of computing, but when it comes to handling intensive workloads like AI and machine learning, GPUs take the crown for speed and efficiency.
while CPUs are designed for sequential processing, GPUs excel at parallel processing, making them the perfect fit for tasks that require crunching massive amounts of data simultaneously—just like those heavy AI and machine learning models you're dealing with.
Now, we know what you're thinking: GPUs can be pricey. But let's talk value for a moment. Yes, GPUs may have a higher initial cost, but their ability to drastically reduce processing times can save you precious hours, days, even weeks of computing time. And in the world of tech, time is money!
In this lecture we cover Setup and installation of Jupyter Python Notebook on Azure cloud on GPU VM, if you want to learn about on CPU VM then watch Part 1.
