# Error: "No offers found"
# Cause: Filters too restrictive
# Fix: Relax filters
vastai search offers 'num_gpus=1 rentable=true' --limit 5  # broader search

# Error: "Insufficient funds"
# Fix: Check balance and add credits
vastai show user --raw | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'Balance: \${d[\"balance\"]:.2f}')"

# Error: "Instance creation failed"
# Fix: Try a different offer or smaller disk
vastai create instance OFFER_ID --image ubuntu --disk 10

# Error: Instance stuck in "loading" for >10 minutes
# Cause: Very large Docker image or slow host internet
# Fix: Use smaller base images or pre-cached templates
# Good: pytorch/pytorch:2.2.0-cuda12.1-cudnn8-runtime (4GB)
# Bad:  custom-image-with-everything:latest (30GB)

# Error: "Container exited immediately"
# Cause: Bad entrypoint or missing dependencies
# Fix: Check logs
vastai logs INSTANCE_ID --tail 50

# Error: "Connection refused" after instance shows "running"
# Cause: SSH server not yet started inside container
# Fix: Wait 30-60 seconds after status changes to running

# Error: "Permission denied (publickey)"
# Cause: SSH key not uploaded to Vast.ai
# Fix: Upload at cloud.vast.ai > Account > SSH Keys

# Error: "Host key verification failed"
# Fix: Use -o StrictHostKeyChecking=no for ephemeral instances
ssh -p PORT -o StrictHostKeyChecking=no root@HOST

# Error: "CUDA not available" inside container
# Cause: Docker image missing CUDA or driver mismatch
# Fix: Use NVIDIA-provided images with matching CUDA version
# Check host CUDA: vastai show instance ID --raw | jq '.cuda_max_good'

# Error: "CUDA out of memory"
# Cause: Model too large for GPU VRAM
# Fix: Search for more VRAM or reduce batch size
vastai search offers 'gpu_ram>=48 num_gpus=1' --order dph_total