Google Cloud offers an excellent Jupyter Notebook managed service called Vertex AI Workbench which is relatively pricy. For some cases, I suggest using an old trick that can get you up to a 91% discount: hosting Jupyter Notebooks on Compute Engine Spot Instances using standard templates. This easy solution yields almost the same experience as Google’s managed notebook service, allowing you to be equally productive and considerably reduce costs. In fact, for short ML tasks like EDA or model experimentation, it can be an optimal solution on GCP. However, please mind the cost-SLA tradeoff here.