In the daily routine of a data scientist, processing and computing are a going concern when dealing with growing datasets and more complex model architecture. However, I am not counting the fact that you get the budget to update the latest hardware with better memory, CPUs, and GPUs. It seems almost inevitable that data scientists will seek out solutions to these issues. One solution, which is way cheaper than upgrading the hardware, is through cloud VM.

Virtual Machines are cloud services that allow customized configuration on the type of computing capacity as needed. Simply put, it is a cloud computer that you can upgrade when you need more computing power and memory for heavy-duty tasks. Yet usually VMs does not provide the ease of usability like our native operating systems, and there is a bit of a learning curve if you want to walk your way around the Linux systems. So this tutorial will offer a solution to connect your VMs to your local SDE like VSCode while setting up Github to your VM to allow visible management. Without further ado, let’s dig in!

#vm #google-cloud-platform #github #vscode-extension