Product updates: GPU memory snapshots, notebooks, service tokens, and more

Modal announced several platform updates, including alpha GPU memory snapshots that can reduce GPU workload cold starts by up to 10 times, and beta browser-based Modal Notebooks for executing Python in the cloud with pay-per-use compute, collaboration, custom images, and distributed volumes. New service users and API tokens support automated deployments independent of individual accounts, while a beta browser UI can generate interfaces for typed Modal Functions to simplify testing and workflow triggering. The platform also added first-class uv support for faster container builds, client enhancements such as named Sandboxes, expanded object metadata, and a newer image builder designed to reduce dependency conflicts. Modal highlighted examples for deploying OpenAI’s gpt-oss model through vLLM and building high-speed, low-cost audio transcription services, alongside customer uses by Lovable, Marimo, and Pipecat, including Lovable’s deployment of more than one million Sandboxes during a promotional weekend.

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