Neptune.ai Status — Is Neptune.ai Down?

Operational

Last checked: 4m ago

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Service Status

Neptune AI Web

Operational435ms

24-Hour Uptime

94%

Operational

Degraded

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Latency (24h)

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Common Issues with Neptune.ai

See detailed troubleshooting guides for the most common Neptune.ai errors:

API Error (500 / 502 / 503)

Neptune.ai is returning API errors (HTTP 500, 502, or 503), indicating the platform's backend is experiencing issues. MLOps platforms handle complex workloads — model training, experiment tracking, pipeline orchestration — making server errors particularly disruptive to active workflows.

Pipeline / Training Run Failed

Your ML pipeline or training run on Neptune.ai has failed unexpectedly. This can be caused by platform-side issues (compute unavailability, orchestration bugs) or configuration problems on your end. Distinguishing between the two is key to a fast resolution.

Model Registry / Artifact Store Error

You cannot push, pull, or access model artifacts in Neptune.ai's model registry. This blocks model deployment and versioning workflows. Registry errors are often caused by storage backend issues or permission problems.

About Neptune.ai

ML metadata store for experiment tracking

Official Website

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Monitored Surfaces

Neptune AI Web

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