Introducing Notebooks

Modal Notebooks is now generally available as a collaborative, GPU-enabled Python environment for AI research, data exploration, and experimentation on Modal’s infrastructure. It aims to reduce common cloud-notebook limitations through sub-five-second kernel starts, flexible hardware scaling from small CPU allocations to multiple high-end GPUs, automatic idle shutdown and resumption, and support for custom or curated container images. The platform integrates directly with Modal Volumes, Secrets, Functions, and production runtime tools, while offering real-time shared editing, fine-grained permissions, Jupyter Widgets, language-server assistance, AI completions, and rich visual outputs. During its August beta, more than 5,000 accounts reportedly ran 200,000 code cells, with early users highlighting rapid GPU switching, scalable capacity, and easier collaboration. Modal plans to add memory snapshots, notebook-to-app export, scheduled runs, and edit history, and is offering new users $30 in free credits alongside example notebooks for tasks such as transcription, coding agents, model experimentation, OCR, and embedding visualization.

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