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Neptune
Experiment Tracker Purpose-Built for Foundation Model Training

What is Neptune?

Neptune is an experiment tracking platform designed to handle the scale and challenges of foundation model training. It allows users to monitor and debug model internals efficiently, providing comprehensive tracking and visualization capabilities for thousands of per-layer metrics, such as losses, gradients, and activations. The platform ensures there are no slowdowns and maintains 100% accurate chart rendering regardless of the model size.

With Neptune, users can detect and address hidden issues that may destabilize training, by enabling to spot problems such as vanishing or exploding gradients, batch divergence, and loss convergence failures. Neptune also supports forking of runs which provides better visibility into training with multiple restarts and branches. The tool is SOC2 type 2 and GDPR compliant, prioritizing the security of the projects. It is available as a SaaS version or as a self-hosted solution for added security.

Features

  • Tracking & visualization at scale: Log and visualize thousands of per-layer metrics with no slowdowns.
  • Deep debugging of model internals: Monitor layers to isolate and address issues affecting training stability.
  • Forking of runs: Test multiple configurations, stop underperforming runs, and branch from the best steps.
  • Scalable self-hosted deployment: Available as SaaS or self-hosted for unique security requirements.
  • SOC2 type 2 & GDPR Compliance: Ensures highest levels of data protection.
  • 99.9% uptime SLA: Very high reliability.

Use Cases

  • Monitor training runs of large-scale AI models.
  • Compare multiple experiment configurations.
  • Collaborate with a team on model development.
  • Debug training issues such as vanishing gradients.
  • Track and analyze thousands of per-layer metrics.
  • Manage and version machine learning models

FAQs

  • Can I use Neptune for free?
    Yes, Neptune offers a Free Plan for both personal and commercial use, which is suitable for individuals or small teams starting with experiment tracking.
  • Is my data secure in Neptune?
    Yes, Neptune's SaaS version is SOC2 and GDPR compliant. For organizations with specific security requirements, a self-hosted version is also available.
  • What happens if I run out of storage space?
    Your account will enter read-only mode until you purchase additional storage or delete old data. You won't be able to track new runs without more space.
  • What are logging hours?
    Logging hours refer to the time spent logging metadata to Neptune. You get unlimited logging hours on every plan.
  • Can I deploy Neptune on my infrastructure?
    Yes, Neptune offers a self-hosted plan for deployment on your own servers or private cloud.

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