remote-gpu-trainer
remote-gpu-trainer — Remote GPU Job Orchestration
Overview
Deploy and babysit long-running GPU jobs on rented boxes you don't own, across any platform, and get the result off the box before the meter or a preemption kills it. The core insight: you are a short-term tenant on someone else's machine — so the job is to detach the work, make the result outlive the instance, and stop the meter safely, not to provision a cluster.
This skill is platform-agnostic at the core, platform-specific at the edges: a fixed set of
operating principles + a 6-phase lifecycle that hold everywhere, plus one profile per platform
(profiles/<platform>.md) that owns every concrete path, proxy, billing verb, and spot semantic. Its
defensible value is the union the big orchestrators skip: Chinese cgroup-isolated rentals + bare-SSH
cheap boxes + the disk-budget / monitoring / teardown reality that is the job on metered hardware.