What this error means
mount callback failed (or failed to remove mount temp dir) with docker 29.4.1, containerd 2.2.3 is a Docker failure pattern reported for developers trying to fix docker build mount callback failed error with containerd 2.2.3 on aws ec2. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Official moby/moby issue #52607 (2026-05-11) reports Docker build consistently crashes with 'mount callback failed' on AWS EC2 c5 instances using Docker 29.4.1 + containerd 2.2.3. Triggered by large layer builds from nvidia/cuda base images.
Common causes
- Developers building Docker images with large layers (e.g., nvidia/cuda base images) on AWS EC2 instances experience consistent build crashes due to containerd mount failures. Critical for ML/AI workloads depending on GPU base images.
- Official moby/moby issue #52607 (2026-05-11) reports Docker build consistently crashes with 'mount callback failed' on AWS EC2 c5 instances using Docker 29.4.1 + containerd 2.2.3. Triggered by large layer builds from nvidia/cuda base images.
Quick fixes
- Confirm the exact error signature matches
mount callback failed (or failed to remove mount temp dir) with docker 29.4.1, containerd 2.2.3. - Check the Docker account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.