Neptune AI

Neptune AI is a powerful experiment tracker built for training massive AI models like those from OpenAI. It lets you log thousands of metrics from every layer of your model—losses, gradients, activations—and visualize them instantly without slowdowns or missing details. Perfect for teams debugging huge training runs, it spots hidden issues early, handles branches and restarts smoothly, and works on your own servers or cloud.​

Key Features

• Log tens of thousands of per-layer metrics across massive models with 100% accurate, lag-free charts.​
• Monitor layer-by-layer to catch problems like vanishing gradients or batch issues before they ruin training.​
• Branch experiments easily to test configs, inherit history, and stop bad runs without wasting GPUs.​
• Query logs super fast with neptune-query to analyze data from millions of points in tables or charts.​

Use Cases

• Debug GPT-scale training by tracking internals across 5B to 150T parameter models in real-time.​
• Compare branched experiments for hyperparameter tuning and spot the best paths quickly.​
• Run on-premises analysis for enterprises needing private clouds with full visibility into restarts.