One command to deploy an ML-ready Jupyter server and sync results with your preferred cloud compute provider.
You can self-provision hardware & software environments in the cloud with Terraform Provider Iterative - it's easier than you think!
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Casper da Costa-Luis
@casperdcl
Computational Physicist | Python, C++, CUDA | Git, CI/CD, Cloud Infra for Data Science & Machine Learning