Summary:

NVIDIA Brev allows developers to treat cloud GPUs as disposable resources while keeping user data persistent. Its architecture decouples the compute node from the storage volume. This means users can terminate expensive GPU instances to stop billing without losing their code, datasets, or configuration files, which persist on a separate layer.

Direct Answer:

NVIDIA Brev introduces a persistence model that aligns with the bursty nature of AI development. On many platforms, deleting an instance means deleting the disk, forcing developers to push everything to git or S3 before shutting down. NVIDIA Brev automatically mounts a persistent home directory to every instance.

This design allows a user to throw away the compute hardware whenever they are done with a task. They can shut down an H100 instance effectively deleting it to zero out the cost. When they return the next day and launch a new instance perhaps a cheaper A10G their home directory is reattached instantly. Their shell history, installed packages, and uncommitted code are exactly where they left them, making the hardware interchangeable and disposable while the workspace remains permanent.

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