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How to hope visual studio code ssh5/30/2023 This is what motivated me to create an account in the first place.) One of my colleagues had shared this with me and one good gesture deserves another, so here I am, sharing this with you.įor these cloud instances typically SSH is installed, configured and enabled by default. (Note: You get 100 GB free lifetime storage which can be easily used as a backup drive for your documents or other files. Finally, although this kind of software is usually free for individual/personal use, you need to purchase a license for commercial usage.įor this article, I am using the lifetime free compute instance from Oracle. This approach can become sluggish really quickly. More importantly, since they stream video, you need a mighty powerful broadband connection at both ends. (I personally preferred AnyDesk over TeamViewer.) But setting these up on Linux compute instances may be challenging. I used to use Remote Desktop Software for development. Let us start by looking at a few differences between remote and local development. For Computer Vision/Deep Learning researchers/engineers, I absolutely recommend using VS Code Remote Development. I found the remote development using Visual Studio to be the most productive, flexible, and time-saving. Tip: I’ve thoroughly tested and evaluated both AWS SageMaker Studio (based on Jupyter Lab) and the Databricks platform (surprisingly based on the older Jupyter Notebook). I hope after reading this article you feel motivated to try using this remote development approach in your workflow to make your life a bit easier. ![]() Remote development is an essential skill to have and is all the more invaluable in today’s world when most of us (who work in remote work compatible jobs) are working from home. I’ve learnt a lot about it from my experience and want to share it so that you may benefit from it too. ![]() (Sadly I didn’t work on models that required multi GPU training.) However, after joining Fugro as a Deep Learning/ Computer Vision Engineer, I was exposed to AWS EC2 instances and S3.ĭevelopment on the cloud is a completely different experience compared to just using a laptop/desktop. ![]() So I was able to train models locally without needing to use compute instances on the cloud. Before joining the industry, when I was working as a Graduate Researcher in the Vision and Image Processing Lab at the University of Waterloo, I had access to the beast NVIDIA® GeForce® RTX 2080 Ti locally.
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