Introducing Notebooks – launch ML experiments with zero cold boots

What this post added

Introduces Modal Notebooks, a collaborative environment for high-performance interactive computing powered by GPU-enabled Python kernels that launch in seconds. Key features include <5-second cold-start times on arbitrary container images and hardware up to 256 vCPUs and 8 H100/B200 GPUs, auto-idling and resuming kernels to optimize costs, unified access to Modal Volumes, Secrets, and deployed Functions, and true real-time collaborative editing. The system leverages Modal's content-addressed FUSE filesystem for fast image loading and integrates with language server protocol (LSP) for enhanced developer experience.