1b:I[1659,["874","static/chunks/874-5853b36c417a5f43.js","598","static/chunks/598-8e8b350c69b61725.js","735","static/chunks/735-5d5145bb0f79dc16.js","405","static/chunks/app/%5Blocale%5D/item/%5Bid%5D/page-b0ef2b6c2502e4ad.js"],"default"] 1e:I[8170,["874","static/chunks/874-5853b36c417a5f43.js","598","static/chunks/598-8e8b350c69b61725.js","735","static/chunks/735-5d5145bb0f79dc16.js","405","static/chunks/app/%5Blocale%5D/item/%5Bid%5D/page-b0ef2b6c2502e4ad.js"],"default"] 1c:T55b,My friend and I developed Nimbo (https://nimbo.sh), a dead-simple command line tool that allows you to run code on AWS as if you were running it locally.

We decided to build this because we were frustrated with how cumbersome using AWS was, and we just wanted to be able to run jobs on AWS as easily as we run them locally (and make use of our credits). All in all, we didn't like the current AWS user experience, and we thought we could drastically simplify it for the machine learning/scientific computing niche.

For this reason, we also provide many useful commands to make it faster and easier to work with AWS, such as one-command Jupyter notebooks on EC2, easily checking prices, logging onto an instance, syncing data to/from S3, etc.

Unlike other similar services, we are solely client-side, meaning that the code runs on your EC2 instances and data is stored in your S3 buckets (we don't have a server; all the infrastructure orchestration happens in the Nimbo package).

We have tons of ideas for Nimbo, such as docker support and one-command neural network deployments.

We will be hosting a live Nimbo setup session, so if you are interested register here http://eepurl.com/hx-jyv.1d:T55b,My friend and I developed Nimbo (https://nimbo.sh), a dead-simple command line tool that allows you to run code on AW

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