May 11, 20251 yr These platforms provide cloud-hosted Jupyter notebooks with access to GPUs/TPUs, pre-configured ML environments, and persistent storage. They are ideal for training models, performing experiments, or running notebooks for reproducible research. Some also support code-based app deployment from notebooks or support version control integration. Tools : Google Colab Pro/Pro+ – Free or paid access to GPU/TPU-powered notebooks with full Python and ML library support. Great for fast prototyping and running experiments. Paperspace Gradient – Offers Jupyter notebooks with GPU access and pre-built ML templates. Includes versioning, deployment, and collaborative development tools. Kaggle Notebooks – Free compute for running public Python notebooks, often used in competitions or public ML datasets.
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