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remote-run-ssh - Execute CVlization on Remote GPU via SSH

Sync CVlization examples and library to remote GPU host via SSH and launch Docker-based training scripts.

Tags

Updated: 2026-03-20

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • sync files to remote host
  • build Docker image
  • check GPU availability
  • execute training script
  • capture metrics
  • retrieve log files
  • document run session
  • clean remote workspace

Inputs

  • example directory path
  • cvlization library folder
  • SSH config for l1 host
  • Hugging Face tokens
  • Docker scripts
  • environment variables

Outputs

  • remote workspace at /tmp/cvlization_remote
  • training and evaluation logs
  • performance metrics
  • run log documentation
  • checkpoints and model artifacts

Requirements

  • SSH access to remote GPU host
  • NVIDIA GPU with CUDA support
  • Docker with GPU runtime
  • 15GB free space on /tmp

Source

  • Spec: SKILL.md

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ssh
remote execution
GPU
Docker
training
CVlization
CUDA
sync files to remote host
build Docker image
check GPU availability
execute training script
example directory path
cvlization library folder
SSH config for l1 host
remote workspace at /tmp/cvlization_remote
training and evaluation logs
performance metrics