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Neptune’s Successes: Key Insights and Best Practices for Sustaining Them

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Introducing Pluto: Elevate Your Experiment Tracking 🚀

At Trainy, we understand that when GPU cluster shutdowns happen, demands on responsiveness skyrocket. This led us to create Pluto, a powerful experiment tracker designed to meet the needs of AI and machine learning teams, built on our fork of the open-source project MLOp.

What Sets Pluto Apart?

  • Optimized for Scale: Log 50k+ metrics per run without dropping data.
  • Fast and Dynamic UI: Quick loading graphs and smooth filtering options.
  • Advanced Query Capabilities: Customizable run filtering with an intuitive query builder.

Key Improvements Over Neptune:

  • Enhanced graph UX for a more seamless experience.
  • Integrated development workflows with issue tracking.
  • Direct tensor logging for effortless visualization.

Pluto’s thoughtful dual-log migration means you can transition smoothly from Neptune with zero commitment. Ready to elevate your tracking?

🔗 Start the conversation! Comment below and share how Pluto can transform your workflow!

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