Bootstrap scripts for ML workloads on a few GPU cloud providers

A GitHub repository published by tudormunteanu provides bootstrap scripts and a cheatsheet for setting up rented GPU cloud instances on RunPod, Vast, Nebius, and Enverge, aimed at making a rented GPU usable without paying for an idle box. The repository includes provider-specific directories for runpod, vast, and enverge, plus a docker directory for nested Docker on Enverge, and warns users not to place tokens or secrets in these files.

Notes + scripts for getting a rented GPU useful without paying for an empty box. - cheatsheet.md https://github.com/tudormunteanu/gpu-cloud-instance-boostraps/blob/main/cheatsheet.md — RunPod / Vast / Nebius / Enverge - runpod/ https://github.com/tudormunteanu/gpu-cloud-instance-boostraps/blob/main/runpod - vast/ https://github.com/tudormunteanu/gpu-cloud-instance-boostraps/blob/main/vast - enverge/ https://github.com/tudormunteanu/gpu-cloud-instance-boostraps/blob/main/enverge - docker/ https://github.com/tudormunteanu/gpu-cloud-instance-boostraps/blob/main/docker — nested docker only Enverge Don’t put tokens/secrets in these files. | Name | | Name | Last commit date | | |---|---|---|---|---|