vastai-prod-checklist

Solid

Execute Vast.ai production deployment checklist for GPU workloads. Use when deploying training pipelines to production, preparing for large-scale GPU jobs, or auditing production readiness. Trigger with phrases like "vastai production", "deploy vastai", "vastai go-live", "vastai launch checklist".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Description 5%
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Skill Content

# Vast.ai Production Checklist ## Overview Complete checklist for running production GPU workloads on Vast.ai, covering account setup, instance selection, data safety, monitoring, and cost controls. ## Prerequisites - Vast.ai account with sufficient credits - Docker images tested and published to registry - Checkpoint-based training pipeline ## Instructions ### Account & Authentication - [ ] API key stored in secrets manager (not in code or env files) - [ ] Dedicated SSH key pair for Vast.ai (not shared with other services) - [ ] Account balance sufficient for planned workload duration + 50% buffer - [ ] Billing alerts configured at cloud.vast.ai ### Instance Selection - [ ] GPU type validated for workload (VRAM, compute capability) - [ ] Reliability filter set to `>= 0.98` for production jobs - [ ] Internet speed filter set to `inet_down >= 200` for data transfer - [ ] Disk allocation includes room for checkpoints + data + 20% overhead - [ ] CUDA version on host matches Docker image requirements ### Data Safety - [ ] Training data encrypted before upload to instances - [ ] Checkpoint saving every N steps (not just per epoch) - [ ] Checkpoints uploaded to persistent storage (S3/GCS) periodically - [ ] Instance cleanup script removes data before destruction - [ ] No sensitive data (API keys, PII) embedded in Docker images ### Spot Instance Protection - [ ] Spot preemption handler implemented (save checkpoint on SIGTERM) - [ ] Auto-recovery: detect destroyed instance, pr...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Anthropic · AI Docker · Infrastructure

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