Remote Compute

Overview

Foundation-model workloads (protein folding, backbone diffusion, single-cell models) need a GPU and can run for minutes to hours — too long to sit in a synchronous call. This skill is the provider-agnostic dispatch layer the GPU skills build on: a single submit → poll → harvest contract that works the same whether the backend is a SLURM cluster, Modal, RunPod, or GCP. You describe the job once; the dispatcher submits it, returns a handle, polls status to a terminal state, and harvests the output artifacts.

It does not wrap any single model — each model skill (alterlab-alphafold, alterlab-boltz, alterlab-proteinmpnn, …) describes what to run; this skill describes where and how to run it.

When to Use This Skill