Neptune.ai

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Track, compare, and share ML experiments in one place with Neptune.ai. Integration with popular frameworks. Collaborate easily.0
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What is Neptune.ai?

Training foundation models is no small feat. With months-long jobs and massive datasets, staying on top of your experiments can feel like an uphill battle. Other tools slow you down with laggy interfaces, inaccurate data, and limited scalability. Neptune.ai changes the game.

Neptune is the experiment tracker designed for hyperscale model training. It lets you monitor jobs in real-time, visualize thousands of metrics instantly, and catch failing runs before they drain your resources. And it does all this without crashing your UI.

Key Features

Real-Time Tracking with 100% Accuracy
Visualize and analyze thousands of metrics in milliseconds. Neptune’s web app renders massive run tables and charts without freezing, so you can spot errors and spikes with confidence.

Fork Runs to Optimize Training
Test multiple configurations simultaneously, stop runs that don’t improve accuracy, and restart from the most promising step. This feature alone can save millions in GPU costs by eliminating wasted training time.

Self-Hosted Deployment
Deploy Neptune on-prem or in your private cloud from day one. Its architecture is built to handle 100k+ data points per second, ensuring scalability and data security.

30+ Native Integrations
Whether you’re using PyTorch, TensorFlow, Optuna, or Airflow, Neptune integrates seamlessly with your stack. Its flexible API lets you log and track metadata with minimal friction.

Enterprise-Grade Security
With SOC2 Type 2 compliance, GDPR adherence, and 99.9% uptime SLA, Neptune ensures your data is safe and your experiments are always accessible.

How Neptune Solves Your Biggest Pain Points

  • Poor Responsiveness:Other tools make you wait hours for data to load or charts to render. Neptune delivers instant results, so you can iterate faster.

  • Inaccurate Data:Downsampling and incomplete metrics from other tools lead to missed errors. Neptune ensures 100% accuracy, so you can trust your results.

  • Limited Scalability:Most experiment trackers can’t handle the scale of foundation model training. Neptune is built for hyperscale, so you can track every metric without compromise.

Use Cases

  1. Catch Failing Runs Early
    Spot diverging loss curves or unexpected spikes in real-time, so you can stop non-converging runs before they waste resources.

  2. Compare Experiments with Ease
    Visualize thousands of metrics on a single chart, making it simple to identify the best-performing models and configurations.

  3. Optimize GPU Usage
    Use forking to test multiple approaches simultaneously, stopping runs that don’t improve accuracy and saving millions in training costs.

Why Neptune Stands Out

  • Responsive UI at Scale:Render 100k+ runs tables and compare thousands of metrics without screen freezes.

  • Trusted by Enterprises:Loved by 60,000+ researchers and trusted by teams building LLMs and foundation models.

  • Proven Cost Savings:Forking runs alone can save at least 5% on training costs, translating to millions of dollars annually.

Get Started Today

Ready to take control of your foundation model training? Sign up for early access to Neptune Scale and experience real-time experiment tracking without the headwind.

[Sign Up Now]

FAQ

Q: Can I use Neptune with my existing training frameworks?
A: Absolutely. Neptune integrates with 30+ frameworks, including PyTorch, TensorFlow, and Optuna, and offers a flexible API for custom setups.

Q: Is Neptune secure for enterprise use?
A: Yes. Neptune is SOC2 Type 2 and GDPR compliant, with role-based access control (RBAC) and SSO authentication to protect your data.

Q: How does forking runs save costs?
A: Forking lets you test multiple configurations at once and stop non-converging runs early, reducing wasted GPU time and saving millions in training costs.

Q: Can I deploy Neptune on-prem?
A: Yes. Neptune supports self-hosted deployment on-prem or in your private cloud, ensuring scalability and data security.

Neptune.ai is the experiment tracker built for the demands of foundation model training. It’s fast, accurate, and scalable — so you can focus on building better models, not battling your tools.


More information on Neptune.ai

Launched
2017-12
Pricing Model
Free Trial
Starting Price
$50 user/month
Global Rank
133118
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Month Visit
393.7K
Tech used
Google Tag Manager,WordPress,Gzip,HTTP/3,JSON Schema,OpenGraph,Progressive Web App,HSTS,Nginx

Top 5 Countries

22.09%
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Traffic Sources

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Neptune.ai was manually vetted by our editorial team and was first featured on September 4th 2025.
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