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manage-remote-gpu

Compatibility entry for remote GPU resource management. Follow the project-local manage-remote-resources lifecycle skill; GPU inference readiness is a workload-specific reference.

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Works withAWS
See how to install

Files included (4)

  • SKILL.md1.5 KB
  • agents/openai.yaml227 B
  • references/provider-cost-snapshot.md550 B
  • references/vast-host-capability-admission.md210 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Manage remote GPUs

Read and follow manage-remote-resources for provisioning, budgets, ownership, credentials, supervision and teardown. It applies to CPU hosts and attached resources as well as GPUs.

For hosted inference or a co-located judge, also read GPU inference readiness. For a batch campaign, use run-ephemeral-hosts. This compatibility entry grants no additional authority.

Choose the service using service selection and security admission; for AWS GPU VMs or Batch, use the AWS operating runbook. Verify actual accelerator memory, architecture, driver/runtime compatibility and job-level device access before admitting inference work.

Credential and capability custody

Read custody mechanics and the canonical secrets contract linked there.

Plant canaries alongside real credentials

Read the canary procedure when credentials land on a host.

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