gpu-capacity-quota-plan
Use before choosing a Nebius region, preset, or allocation type for a GPU VM, requesting a quota change, retrying a GPU launch across regions, classifying…
Skill by nebius
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nebius-gpu-capacity-quota-plan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/gpu-capacity-quota-plan
What's inside
- Skill name
gpu-capacity-quota-plan- Description
- Use before choosing a Nebius region, preset, or allocation type for a GPU VM, requesting a quota change, retrying a GPU launch across regions, classifying QuotaFailure versus NotEnoughResources, or cleaning up VMs, disks, and IP allocations left by failed launches.
- License
- Apache-2.0
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# GPU Capacity and Quota Planning The commands, `jq` filters, and observed API behavior are in the human guide: [Plan GPU quota and capacity](../../../docs/workbench/gpu-capacity-quota-plan.md). Follow its sections in this order. ## When To Use - Before creating or starting a GPU VM directly with the `nebius` CLI, or when a launch needs quotas or capacity advice beyond what `npa cluster up` checks. - When a launch fails and you need to decide between raising quota, waiting, moving region, or changing preset. - When planning a retry loop across regions, and after it, to clean up. ## Procedure 1. **Size the demand** across every quota a GPU VM uses (guide: "Size the demand"), including `vpc.allocation.count` and the public IPv4 quota. 2. **Check headroom** in the tenant rows and in any project row with a limit. Additional demand must fit both. For a start, do not count the stopped VM's existing instance, disks, or retained allocations again; check compute resources acquired on start and any new resources. Stopped VMs keep their instance and disk quota until deleted. 3. **Read capacity advice** for the exact platform and preset. `available` decides; 0 or missing means a launch is unlikely at any availability level. Use only `DATA_STATE_FRESH` rows. Check quota usage before treating `AVAILABILITY_LEVEL_LIMIT_REACHED` as a hardware shortage. Advice is not a guarantee. 4. **Pick a target** within the authorized region, project, fabric, platform, preset, and allocation scope when quota and fresh advice both fit. Otherwise propose quota (step 5) or alternatives. Obtain approval before launching outside that scope. Unavailable or stale advice is unknown; record that limitation if the authorized search proceeds without it. 5. **Quota requests** go to a tenant admin through the web console. Hand the user the quota name, region, current limit, and requested limit. A `quota-allowance create` call only sets a project allowance; it never raises tenant quota. 6. **Launch with a run label** and record IDs. A launch succeeds only when the operation has finished without an error code and `instance get` reports `RUNNING`. 7. **Classify failures from operation details**, never from the status code: `QuotaFailure` names the quota to free or raise; `NotEnoughResources` means capacity, so retry later or move, and do not raise quota. Auth, image, cloud-init, and workload errors are neither. 8. **Retry within the authorized scope**: one region at a time, reuse stopped VMs with start-specific quota accounting, and stop at the first confirmed `RUNNING` VM. Follow the operator's cadence and explicit limits; do not add time, cost, or attempt limits when none were requested. 9. **Clean up unused attempts by ID** under the cleanup authorization already given. Keep the successful VM and its resources. Verify ownership against the attempt inventory; ask only about IDs outside the authorized scope or unclear ownership. Preserve pre-existing or shared disks and allocations unless explicitly authorized for deletion. Continue after individual cleanup failures, report residue, and verify deleted resources return NotFound. Switching from on-demand to preemptible goes through `skills/atomic/gpu-allocation-fallback/SKILL.md` and needs the user's consent. Clean up NPA-managed resources with `skills/atomic/teardown-and-cost/SKILL.md`. ## Gotchas - `AVAILABILITY_LEVEL_LIMIT_REACHED` also appears when your quota is used up. - JSON output omits zero values: no `available` field means zero VMs. - A create that fails can leave a stopped VM behind; find it by its run label. - A stopped VM still holds instance and disk quota, and its disks keep billing. - Never delete by name or outside the run's authorized cleanup scope. ## Evidence Contract Retain the snapshot time, commands, platform, preset, region, fabric, allocation type, quota rows, advice rows, operation IDs with their detail codes, and cleanup results. Redact project, tenant, instance, disk, allocation, IP, and credential values before placing evidence in a repository. ## Verify ```bash npa/.venv/bin/python -m pytest npa/tests/guardrails/test_skills_index.py \ npa/tests/guardrails/test_documentation_examples.py -q ```
From nebius/nebius-physical-ai, Apache-2.0.
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Signals
- Stars
- 60
- Forks
- 19
- Open issues
- 10
- Last commit (this folder)
- Oct 10, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/nebius/nebius-physical-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
gpu-capacity-quota-plan skill. Agent Mart. https://agentmart.dev/skills/nebius-gpu-capacity-quota-plan (last updated 2026-10-24)