[lambda-labs skill]: reboot the instance first, then check the drivers. After every launch or reboot, verify with nvidia-smi and python -c 'import torch; print(torch.cuda.is_available())' before starting a training run: discovering a dead GPU hours into a job wastes the whole reservation. If the GPU is still missing after a reboot, open a support ticket rather than burning more instance hours.

Context: torch.cuda.is_available() returning False on a Lambda instance is usually a driver state issue.

## Matched source
Source: Source: https://github.com/majiayu000/hermes-agent/blob/HEAD/optional-skills/mlops/lambda-labs/SKILL.md
Original query: "Lambda GPU cloud: GPU not detected means reboot and check drivers"
Key terms: check, cloud, detected, drivers, lambda, means, reboot