Common causes and fixes for deployment failures.
GPU availability varies by provider. If a deployment fails immediately, the selected GPU may be out of stock. Try switching providers in Deploy → Smart Deploy or choose a different GPU tier.
Navigate to Dashboard → Instances → Logs and look for startup errors. Common errors:
CUDA version mismatch — Select a different base image in your presetOOM during init — Reduce the number of containers or choose a higher VRAM GPUImage pull failed — Check the Docker image name and registry credentialsDeployments are blocked when your credit balance reaches zero. Visit Dashboard → Billing to top up credits.
If none of the above resolve the issue, contact our team directly — include the instance ID and any log output.