vast-gpu

# Vast.ai GPU Management Manage vast.ai GPU instance: $ARGUMENTS ## Overview Rent cheap, capable GPUs from vast.ai on demand. This skill **analyzes the training task** to determine GPU requirements, searches for the best-value offers, presents options with estimated total cost, and handles the full lifecycle: rent → setup → run → destroy. Users do NOT specify GPU models or hardware. They describe the task — the skill figures out what to rent. **Prerequisites:** The `vastai` CLI must be installed (requires **Python ≥ 3.10**) and authenticated: ```bash pip install vastai vastai set api-key YOUR_API_KEY ``` > If your system Python is < 3.10, create a virtual environment with Python ≥ 3.10 (e.g., `conda create`, `pyenv`, `uv venv`, etc.) and install `vastai` there. SSH public key **must be uploaded at https://cloud.vast.ai/manage-keys/ BEFORE creating any instance**. Keys are baked into instances at creation time — if you add a key after renting, you must destroy and re-create the instance. ## State File All active vast.ai instances are tracked in `vast-instances.json` at the project root: ```json [ { "instance_id": 33799165, "offer_id": 25831376, "gpu_name": "RTX_3060", "num_gpus": 1, "dph": 0.0414, "ssh_url": "ssh://root@1.208.108.242:58955", "ssh_host": "1.208.108.242", "ssh_port": 58955, "created_at": "2026-03-29T21:12:00Z", "status": "running", "experiment": "exp01_baseline", "estimated_hours": 4.0, "estimated_co...