qzcli

You can automate Qizhi GPU job management using a kubectl-style CLI that enables non-interactive job submission, status checks, and batch workflows across compute groups, streamlining distributed task orchestration.

You can submit and track batch GPU jobs across workspaces using CLI batch workflow support. This allows you to orchestrate distributed training or simulations by performing non-interactive job submissions and status checks across multiple clusters.

Credential handling for a kubectl-style GPU compute CLI involves explicit validation during interactive login workflows. Users authenticate to locate compute groups and configure workspaces before submitting jobs or performing batch operations across the platform.

Yes, you can use the command line interface to perform interactive workspace and resource discovery on the Qizhi platform. This allows you to locate available compute groups and verify resources before launching distributed GPU jobs.

Yes, you need to validate CLI arguments before launching distributed GPU training jobs. The CLI applies explicit argument validation to ensure correct job creation parameters, preventing execution errors during non-interactive submissions and batch operations.