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tao-run-on-docker

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The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKER_HOST=ssh://user@host. Implements the four-verb consumer contract (submit/status/logs/cancel) over the docker CLI, wired to the job-record, tao-data-io staging, and the redact lint, on top of the underlying docker conventions (--gpus, mounts, NGC auth, inspection, data-root relocation, error modes). Use to run any single-node TAO container action on Docker without the SDK. Trigger keywords — docker, docker run, run on docker, DOCKER_HOST, remote docker, nvcr.io, --gpus, single-node GPU job.

When to use

• run any single-node TAO container action on Docker
• submit TAO jobs
• check TAO job status
• retrieve TAO job logs
• cancel TAO jobs
• remote docker execution via DOCKER_HOST
• single-node GPU job execution

When not to use

• multi-node workloads
• SLURM execution
• Kubernetes execution
• SDK-based execution

Skill page

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